Interval-fuzzy stochastic optimization for regional energy systems planning and greenhouse-gas emission management under uncertainty—a case study for the Province of Ontario,Canada

Greenhouse gas (GHG) emission reduction is usually associated with energy systems management. Management of regional energy systems is a complex task due to the strong interactions among energy supply, demand and conversion activities, as well as those among energy, environmental and economic factors. These complexities may be further compounded due to the presence of uncertainties in a variety of processes and the related costs, impact factors and objectives. Therefore, the objective of this study is to develop a dynamic interval-fuzzy two-stage stochastic regional energy systems planning model (DIFT-REM) and analysis GHG-emission reduction policies within a general energy management systems framework. The developed model is then applied to the Province of Ontario to demonstrate its applicability in supporting regional energy systems management and GHG-emission reduction analysis under uncertainty. The results indicated that DIFT-REM could address not only interactions among multiple energy-related activities, but also uncertainties in multiple forms and dynamics within a multi-period, multi-facility, multi-scale and multi-uncertainty context. The results also suggested that, when GHG-emission-credit trading is available for Ontario, the task of GHG-emission reduction could be accomplished with a lower system cost.     

Great expectations: can international emissions trading deliver an equitable climate regime?

Climate change equity debates tend to focus on achieving a fair and global ‘allocation’ of emission rights among countries. Allocation proposals typically envision, if implicitly, two purposes for international emissions trading. First, trading is expected to serve as a cost-effective means of promoting compliance with emissions targets. Second, trading is posited as a means to generate financial transfers, typically from industrialized to transitioning and developing countries.This article investigates the common assumption that international emissions trading will effectively serve both of these purposes. We conclude that the two purposes might not be mutually supportive, and that efforts to use international emissions trading as a financial transfer mechanism may potentially undermine cost-effectiveness goals. International emissions trading on a global scale would create new risks in terms of both cost-effectiveness and environmental performance, some of which will be challenging to manage. In particular, uncertainties over market prices and trading eligibility, coupled with the costs of participation, may together be the Achilles heel of some allocation proposals that entail large financial transfers from industrialized to developing countries. Any proposal for an ‘equitable’ allocation of emission allowances, we conclude, must be cognizant of the risks and costs implied by a reliance on international emissions trading. We offer some suggestions to this end.     

Carbon emission trading and carbon taxes under uncertainties

The idea of market-based carbon emission trading and carbon taxes is gaining in popularity as a global climate change policy instrument. However, these mechanisms might not necessarily have a positive outcome unless their value reflects socioeconomic and environmental impacts and regulations. Moreover, the fact that they have various inherent exogenous and endogenous uncertainties raises serious concerns about their ability to reduce emissions in a cost-effective way. This paper aims to introduce a simple stochastic model that allows the robustness of economic mechanisms for emission reduction under multiple natural and human-related uncertainties to be analyzed. Unlike standard equilibrium state analysis, the model shows that the explicit introduction of uncertainties regarding emissions, abatement costs, and equilibrium states makes it almost impossible for existing market-based trading and carbon taxes to be environmentally safe and cost-effective. Here we propose a computerized multi-agent trading model. This can be viewed as a prototype to simulate an emission trading market that is regulated in a decentralized way. We argue that a market of this type is better equipped to deal with long-term emission reductions, their direct regulation, irreversibility, and “lock-in” equilibria.     

Great expectations: can international emissions trading deliver an equitable climate regime?

Abstract

Climate change equity debates tend to focus on achieving a fair and global ‘allocation’ of emission rights among countries. Allocation proposals typically envision, if implicitly, two purposes for international emissions trading. First, trading is expected to serve as a cost-effective means of promoting compliance with emissions targets. Second, trading is posited as a means to generate financial transfers, typically from industrialized to transitioning and developing countries.

This article investigates the common assumption that international emissions trading will effectively serve both of these purposes. We conclude that the two purposes might not be mutually supportive, and that efforts to use international emissions trading as a financial transfer mechanism may potentially undermine cost-effectiveness goals. International emissions trading on a global scale would create new risks in terms of both cost-effectiveness and environmental performance, some of which will be challenging to manage. In particular, uncertainties over market prices and trading eligibility, coupled with the costs of participation, may together be the Achilles heel of some allocation proposals that entail large financial transfers from industrialized to developing countries. Any proposal for an ‘equitable’ allocation of emission allowances, we conclude, must be cognizant of the risks and costs implied by a reliance on international emissions trading. We offer some suggestions to this end.     

CO 2 emission trading model with trading prices

In this paper we consider the buying/selling prices of carbon dioxide (CO₂) emission permits in trading models with uncertainty. Permission prices, although usually omitted from standard models, may significantly influence the trading market. We thus undertook to construct a more realistic trade model and to compare it with the standard one. To do this, we introduced several important changes to the standard model, namely, (1) a new optimized quality function; and (2) transactions with price negotiations between regions. We also enhanced the model using methods described in the literature to allow it to deal with reported emissions uncertainty. Additionally, we used an original method of simulating this kind of market based on a specialized evolutionary algorithm (EA).     

不同监管强度下碳排放权交易违约行为的实验研究

2017年底中国全国碳市场启动,全球正式运行的碳排放权交易体系达到21个。伴随碳排放权交易的广泛开展,加之产品市场不确定性的冲击,控排企业的违约行为也日益多样化和复杂化。基于此,根据中国碳市场试点地区的通行交易规则,通过在产品市场中引入随机冲击,分析在具有储蓄机制且存在不确定性需求的碳交易体系中,企业违约行为的方式以及监管强度对企业违约行为的影响。研究结果表明:抽查比例较高的强监管设置下被试不会产生系统动机来排放违约,弱监管设置下明显的报告违约会导致排放总量上升。即使面临不确定性冲击,储蓄机制依然能促进控排企业以一个相对有效的方式跨期分配生产量。因此给出如下建议:违约处罚应该分级,报告违约处罚力度应大于排放违约;为提高实际履约率,各地应提高排放报告抽查比例;完善配额储蓄机制。     

Safe policies in an uncertain climate: an application of FUND

Various aspects of the role of uncertainty in greenhouse gas emission reduction policy are analyzed with the integrated assessment model FUND. FUND couples simple models of economy, climate, climate impacts, and emission abatement. Probability distribution functions are assumed for all major parameters in the model. Monte Carlo analyses are used to study the effects of parametric uncertainties. Uncertainties are found to be large and grow over time. Uncertainties about climate change impacts are more serious than uncertainties about emission reduction costs, so that welfare-maximizing policies are stricter under uncertainty than under certainty. This is more pronounced without than with international cooperation. Whether or not countries cooperate with one another is more important than whether or not uncertainty is considered. Meeting exogenously defined emission targets may be more or less difficult under uncertainty than under certainty, depending on the asymmetry in the uncertainty and the central estimate of interest. The major uncertainty in meeting emissions targets in each of a range of possible future is the timing of starting (serious) reduction policies. In a scenario aiming at a stable CO₂ concentration of 550 ppm, the start date varies 20 years for Annex I countries, and much longer for non-Annex countries. Atmospheric stabilization at 550 ppm does not avoid serious risks with regard to climate change impacts. At the long term, it is possible to avoid such risks but only through very strict emission control at high economic costs.     

Economic,institutional and technological uncertainties of emissions trading—a system dynamics modeling approach

System dynamics models are employed for analyzing the impact of different uncertainties on carbon emission trading–both on national and business levels. Economic, institutional and technological uncertainties significantly influence any country's benefits from emission permit trading. If a country participates in trading on the international market then the possible price range becomes the source of additional uncertainty. In the case of business investment decisions for implementing resource‐saving technology, our system dynamics model shows that the first‐mover investor will get significantly fewer advantages than his followers, which leads to delay in primary investment to the sector.     

Escaping the climate policy uncertainty trap: options contracts for REDD+

Climate policy uncertainty significantly hinders investments in low-carbon technologies, and the global community is behind schedule to curb carbon emissions. Strong actions will be necessary to limit the increase in global temperatures, and continued delays create risks of escalating climate change damages and future policy costs. These risks are system-wide, long-term and large-scale and thus hard to diversify across firms. Because of its unique scale, cost structure and near-term availability, Reducing Emissions from Deforestation and forest Degradation in developing countries (REDD+) has significant potential to help manage climate policy risks and facilitate the transition to lower greenhouse gas emissions. ‘Call’ options contracts in the form of the right but not the obligation to buy high-quality emissions reduction credits from jurisdictional REDD+ programmes at a predetermined price per ton of CO₂ could help unlock this potential despite the current lack of carbon markets that accept REDD+ for compliance. This approach could provide a globally important cost-containment mechanism and insurance for firms against higher future carbon prices, while channelling finance to avoid deforestation until policy uncertainties decline and carbon markets scale up.

Key policy insights

• Climate policy uncertainty discourages abatement investments, exposing firms to an escalating systemic risk of future rapid increases in emission control expenditures.

• This situation poses a risk of an abatement ‘short squeeze,’ paralleling the case in financial markets when prices jump sharply as investors rush to square accounts on an investment they have sold ‘short’, one they have bet against and promised to repay later in anticipation of falling prices.

• There is likely to be a willingness to pay for mechanisms that hedge the risks of abruptly rising carbon prices, in particular for ‘call’ options, the right but not the obligation to buy high-quality emissions reduction credits at a predetermined price, due to the significantly lower upfront capital expenditure compared to other hedging alternatives.

• Establishing rules as soon as possible for compliance market acceptance of high-quality emissions reductions credits from REDD+ would facilitate REDD+ transactions, including via options-based contracts, which could help fill the gap of uncertain climate policies in the short and medium term.

     

Trading biomass or GHG emission credits?

Global biomass potentials are considerable but unequally distributed over the world. Countries with Kyoto targets could import biomass to substitute for fossil fuels or invest in bio-energy projects in the country of biomass origin and buy the credits (Clean Development Mechanism (CDM) and Joint Implementation (JI)). This study analyzes which of those options is optimal for transportation fuels and looks for the key variables that influence the result. In two case studies (Mozambique and Brazil), the two trading systems are compared for the amount of credits generated, land-use and associated costs. We found costs of 17–30 euro per ton of carbon for the Brazilian case and economic benefits of 11 to 60 euros per ton of carbon avoided in the Mozambique case. The impact of carbon changes related to direct land-use changes was found to be very significant (both positive and negative) and can currently only be included in emission credit trading, which can largely influence the results. In order to avoid indirect land-use changes (leakage) and consequent GHG emissions, it is crucial that bioenergy crop production is done in balance with improvements of management of agriculture and livestock management. Whatever trading option is economically most attractive depends mainly on the emission baseline in the exporting (emission credit trading) or importing (physical trading) country since both bio- and fossil fuel prices are world market prices in large scale trading systems where transportation costs are low. Physical trading could be preferential since besides the GHG reduction one could also benefit from the energy. It could also generate considerable income sources for exporting countries. This study could contribute to the development of a methodology to deal with bio fuels for transport, in Emission Trading (ET), CDM and the certification of traded bio fuels.     

On the regional distribution of mitigation costs in a global cap-and-trade regime

This paper analyzes the regional distribution of climate change mitigation costs in a global cap-and-trade regime. Four stylized burden-sharing rules are considered, ranging from GDP-based permit allocations to schemes that foresee a long-term convergence of per-capita emission permits. The comparison of results from three structurally different hybrid, integrated energy-economy models allows us to derive robust insights as well as identify sources of uncertainty with respect to the regional distribution of the costs of climate change mitigation. We find that regional costs of climate change mitigation may deviate substantially from the global mean. For all models, the mitigation cost average of the four scenarios is higher for China than for the other macro-regions considered. Furthermore, China suffers above-world-average mitigation costs for most burden-sharing rules in the long-term. A decomposition of mitigation costs into (a) primary (domestic) abatement costs and (b) permit trade effects, reveals that the large uncertainty about the future development of carbon prices results in substantial uncertainties about the financial transfers associated with carbon trade for a given allocation scheme. This variation also implies large uncertainty about the regional distribution of climate policy costs.     

Russia at GHG Market

In the first Kyoto commitment period Russia could be the major supplier for the greenhouse gases (GHG) emissions market. Potential Russian supply depends on the ability of Russia to keep GHG emissions lower than the Kyoto target. In the literature there is no common understanding of the total trading potential of Russia at the international carbon market. In this paper we focus on CO₂ emission, which constituted nearly 80%of Russian GHG emission. We compare different projections of Russian CO₂emission and analyze the most important factors, which predetermine the CO₂emission growth. In a transition economy these factors are: Gross Domestic Product(GDP) dynamic, changes of GDP structure, innovation activity, transformation of export-import flows and response to the market signals. The input-output macroeconomic model with the two different input-output tables representing old and new production technologies has been applied for the analysis to simulate technological innovations and structural changes in the Russian economy during transition period. The Russian supply at the international GHG market without forest sector may be up to 3 billion metric ton of CO₂ equivalent. Earlier actions to reduce CO₂ emission are critical to insure theRussiansupply at the international carbon market. With regard to the current status of the Russian capital market, the forward trading with OECD countries is only the possibility to raise initial investments to roll no-regret and low-cost GHG reduction. This paper discusses uncertainties of RussianCO₂emission dynamics and analyzes the different incentives to lower the emission pathway.     

Tax and trade: a hybrid climate policy instrument to control carbon prices and emissions

This article describes a ‘tax and trade' emission regulations system that controls both emission costs and emission quantities. Emitters are taxed at a fixed price on carbon emissions and the government uses the tax revenue to buy carbon offsets on existing emissions markets. Unlike a traditional carbon tax, regulated firms may also produce carbon credits which may be sold to the government. Thus, the government bears the compliance cost risk rather than an individual firm and has control over the number of offsets purchased and the effective emission reduction. This unusual form of hybrid has potential political advantages of creating an economic incentive on corporate choices (at the margin) substantially greater than the actual trading price, and with lower financial transfers than in most schemes.

Policy relevance

The article presents a hybrid carbon emissions system that adds to the growing discussion of hybrid policy instruments which could be implemented by policy makers, particularly in nations without current cap and trade policies.     

Challenges to the development of carbon markets in China

China has introduced several pilot emission trading schemes to build the basis for a national scheme. The potential scale of this initiative raises prospects for a regional carbon trading network as a way to further engage other major Asian economies. However, the Chinese carbon markets rest upon a unique political-economic context and institutional environment that are likely to limit their development and viability. This article offers an overview of such structural economic and political constraints. Four main challenges are identified, namely, inadequate domestic demand, limited financial involvement, incomplete regulatory infrastructure, and excessive government intervention. The first two challenges concern economic dimensions and may be partially addressed by the incentives created by the newly introduced emission trading schemes. The other two are more deeply entrenched in the dominant political system and governing practice. They require fundamental changes to the ways in which the state and the market interact. The success of China's carbon market reform depends crucially on the ability of the ongoing efforts to transform the distorted state–market relationship.

Policy relevance

The burgeoning carbon markets offer opportunities for emissions mitigation at lower costs and enable circulation of a new form of capital, i.e. carbon credits, across borders. China accounts for a gigantic share of global GHG emissions and has the potential to significantly scale up these opportunities. There are clear implications for market developers and participants worldwide, including climate policy makers who attempt to link their emission trading schemes to other schemes, firms who seek to take advantage of the inexpensive carbon offsets generated in developing countries, international financial institutions who endeavour to establish their business in an emerging major carbon market, etc. This article can inform their decisions by identifying key issues that may undermine their ability to achieve these goals. Policy makers and stakeholders will benefit from this analysis, which shows how the Chinese carbon markets operate in ways that may be different from their experience elsewhere.     

Simulation of an uncertain emission market for greenhouse gases using agent-based methods

The paper presents the problem of a simulation of the greenhouse gases emission permits market where only low accuracy emission amounts are known. An organization of the market with uncertain emissions is proposed and trading rules for individual market participants are discussed. Simulation of the market is based on a multi-agent system. Negotiation of purchase/sale prices between the parties are introduced, where the trading parties adopt one of two options: (i) bilateral negotiations, and (ii) sealed bid reverse auctions. Results of simulation runs show trajectories of transaction prices, as well as probability distributions of learning agents’ bidding prices.     

Economic impacts of alternative greenhouse gas emission metrics: a model-based assessment

In this paper we study the impact of alternative metrics on short- and long-term multi-gas emission reduction strategies and the associated global and regional economic costs and emissions budgets. We compare global warming potentials with three different time horizons (20, 100, 500 years), global temperature change potential and global cost potentials with and without temperature overshoot. We find that the choice of metric has a relatively small impact on the CO₂ budget compatible with the 2° target and therefore on global costs. However it substantially influences mid-term emission levels of CH₄, which may either rise or decline in the next decades as compared to today’s levels. Though CO₂ budgets are not affected much, we find changes in CO₂ prices which substantially affect regional costs. Lower CO₂ prices lead to more fossil fuel use and therefore higher resource prices on the global market. This increases profits of fossil-fuel exporters. Due to the different weights of non-CO₂ emissions associated with different metrics, there are large differences in nominal CO₂ equivalent budgets, which do not necessarily imply large differences in the budgets of the single gases. This may induce large shifts in emission permit trade, especially in regions where agriculture with its high associated CH₄ emissions plays an important role. Furthermore it makes it important to determine CO₂ equivalence budgets with respect to the chosen metric. Our results suggest that for limiting warming to 2 °C in 2100, the currently used GWP100 performs well in terms of global mitigation costs despite its conceptual simplicity.     

Will the Clean Development Mechanism be effectively implemented in China?

Abstract

The purpose of this article is to analyse whether the presence of surplus emission allowance trading jeopardizes the environmental target of an international environmental agreement. We argue that surplus emission allowance trading can be used as an implicit side-payment mechanism to actually bring about higher environmental protection compared with the situation without the trade option. We point to the existence of a fundamental trade-off between costs of compliance and the creation of dynamic incentives to develop cheaper reduction technologies. Implicit side payments, in terms of surplus emission allocations, may be needed in order to establish a compromise between these opposing demands. We identify the shortcomings and benefits of allowing fully flexible permit trading, including the allocation rule of grandfathering.     

Effectiveness of pilot carbon emissions trading systems in China

China is in the process of establishing a national emissions trading system (ETS). Evaluating the implementation effectiveness of the seven pilot ETSs in China is critical for designing this national system. This study administered a questionnaire survey to assess the behaviour of enterprises covered by the seven ETS pilots from the perspective of: the strictness of compliance measures; rules for monitoring, reporting and verification (MRV); the mitigation pressure felt by enterprises; and actual mitigation and trading activities. The results show that the pilot MRV and compliance rules have not yet been fully implemented. The main factors involved are the lack of compulsory force of the regulations and the lack of policy awareness within the affected enterprises. Most enterprises have a shortage of free allowances and thus believe that the ETSs have increased their production costs. Most enterprises have already established mitigation targets. Some of the covered enterprises are aware of their own internal emission reduction costs and most of these have used this as an important reference in trading. Many enterprises have accounted for carbon prices in their long-term investment. The proportion of enterprises that have participated in trading is fairly high; however, reluctance to sell is quite pervasive in the market, and enterprises are mostly motivated to trade simply in order to achieve compliance. Few enterprises are willing to manage their allowances in a market-oriented manner. Different free allowance allocation methods directly affect the pathways enterprises take to control emissions.

Key policy insights

• In the national ETS, the compulsory force of ETS provisions should be strengthened.

• A reasonable level of free allowance shortage should be ensured to promote emission reduction by enterprises.

• Sufficient information should be provided to guide enterprises in their allowance management to activate the market.

• To promote the implementation of mitigation technologies by enterprises, actual output-based allocation methods should be used.

• The government should use market adjustment mechanisms, such as a price floor and ceiling, to ensure that carbon prices are reasonable and stable, so as to guide long-term low carbon investment.

     

Comparison of preparatory signal analysis techniques for consideration in the (post-)Kyoto policy process

Our study is a preparatory exercise. We focus on the analysis of uncertainty in greenhouse gas emission inventories. Inventory uncertainty is monitored, but not regulated, under the Kyoto Protocol to the United Nations Framework Convention on Climate Change. Under the Convention, countries publish annual or periodic national inventories of greenhouse gas emissions and removals. Policymakers use these inventories to develop strategies and policies for emission reductions and to track the progress of these policies. However, greenhouse gas inventories contain uncertainty for a variety of reasons, and these uncertainties have important scientific and policy implications. For most countries, the emission changes agreed under the Protocol are of the same order of magnitude as the uncertainty that underlies their combined (carbon dioxide equivalent) emissions estimates. Here we apply and compare six available techniques to analyze the uncertainty in the emission changes that countries agreed to realize by the end of the Protocol’s first commitment period 2008–2012. Any such technique, if implemented, could “make or break” claims of compliance, especially in cases where countries claim fulfillment of their commitments to reduce or limit emissions. The techniques all perform differently and can thus have a different impact on the design and execution of emission control policies. A thorough comparison of the techniques has not yet been made but is needed when expanding the discussion on how to go about dealing with uncertainty under the Kyoto Protocol and its successor.     

Global fossil energy markets and climate change mitigation – an analysis with REMIND

We analyze the dynamics of global fossil resource markets under different assumptions for the supply of fossil fuel resources, development pathways for energy demand, and climate policy settings. Resource markets, in particular the oil market, are characterized by a large discrepancy between costs of resource extraction and commodity prices on international markets. We explain this observation in terms of (a) the intertemporal scarcity rent, (b) regional price differentials arising from trade and transport costs, (c) heterogeneity and inertia in the extraction sector. These effects are captured by the REMIND model. We use the model to explore economic effects of changes in coal, oil and gas markets induced by climate-change mitigation policies. A large share of fossil fuel reserves and resources will be used in the absence of climate policy leading to atmospheric GHG concentrations well beyond a level of 550 ppm CO₂-eq. This result holds independently of different assumptions about energy demand and fossil fuel availability. Achieving ambitious climate targets will drastically reduce fossil fuel consumption, in particular the consumption of coal. Conventional oil and gas as well as non-conventional oil reserves are still exhausted. We find the net present value of fossil fuel rent until 2100 at 30tril.US$ with a large share of oil and a small share of coal. This is reduced by 9 and 12tril.US$ to achieve climate stabilization at 550 and 450 ppm CO₂-eq, respectively. This loss is, however, overcompensated by revenues from carbon pricing that are 21 and 32tril.US$, respectively. The overcompensation also holds under variations of energy demand and fossil fuel supply.