Energy Transition

Peter Dizikes | MIT News Office 
June 18, 2018

Air pollution has smothered China’s cities in recent decades. In response, the Chinese government has implemented measures to clean up its skies. But are those policies effective? Now an innovative study co-authored by an MIT scholar shows that one of China’s key antipollution laws is indeed working — but unevenly, with one particular set of polluters most readily adapting to it.

When the Paris Agreement was launched in 2015, nearly 200 nations pledged to enact and continually strengthen policies aimed at keeping the rise in global average surface temperature since pre-industrial times to well below two degrees Celsius. Meeting that ambitious goal will require a dramatic decarbonization of the world’s energy system over the course of the 21st century. Critical to this collective effort will be the deployment of low-carbon energy sources at a very large scale.

Carbon capture and storage (CCS) technology holds potential to reduce greenhouse gas emissions from the industrial sector. Industrial CCS applications, however, are more challenging to analyze than CCS in the power sector – mainly due to the vast heterogeneity in industrial and fuel processes. I focus on emission sources from cement and investigate the estimated costs associated with CCS in cement production. These costs are evaluated based on a variety of factors, including the technological maturity of the capture process, the amount of CO2 captured in different parts of a plant, the percentage of CO2 captured from the entire plant, and the energy requirements to operate the CCS addition. With the goal of integrating industrial CCS into an energy-economic model, the costs obtained from the literature are used to determine two values: the percent increase in total costs for an industrial plant with CCS and the breakdown of costs into shares of capital, labor, fuel, and other costs. I introduce the industrial CCS options into the MIT Economic Projection and Policy Analysis (EPPA) model, a global energy-economic model that provides a basis for the analysis of long-term growth of the industrial sector, and then I discuss different scenarios for industrial CCS deployment in different parts of the world. I find that in scenarios with stringent climate policy, CCS in the industrial sector is an important mitigation option. Industrial CCS reduces global emissions by an additional 5% by cutting industrial emissions by up to 45%, all while allowing for high levels of industrial production throughout the end of the century. In total, industrial CCS can increase welfare and consumption by up to 70% relative to a global economy under a 2-degree Celsius policy without industrial CCS.

China’s rapid economic growth—largely industrial, energy-intensive, and reliant on coal—has generated environmental, public health, and governance challenges. While China now leads the world in renewable energy deployment, curtailment (waste) of wind and solar is high and increasing, generating much discussion on the relative contributions of technical inflexibilities and incomplete institutional reforms on integration outcomes. These integration challenges directly affect China’s ability to meet long-term environmental and economic objectives. A second, related challenge emerges from how wind integration interacts with China’s reinvigoration in 2015 of a three-decade-old process to establish competitive electricity markets. A “standard liberalization prescription” for electricity markets exists internationally, though Chinese policy-makers ignore or underemphasize many of its elements in current reforms, and some scholars question its general viability in emerging economies. This dissertation examines these interrelated phenomena by analyzing the contributions of diverse causes of wind curtailment, assessing whether current experiments will lead to efficient and politically viable electricity markets, and offering prescriptions on when and how to use markets to address renewable energy integration challenges.

To examine fundamentals of the technical system and the impacts of institutional incentives on system outcomes, this dissertation develops a multi-method approach that iterates between engineering models and qualitative case studies of the system operation decision-making process (Chapter 2). These are necessary to capture, respectively, production functions inclusive of physical constraints and costs, and incentive structures of formally specified as well as de facto institutions. Interviews conducted over 2013-2016 with key stakeholders in four case provinces/regions with significant wind development inform tracing of the processes of grid and market operations (Chapter 3). A mixed-integer unit commitment and economic dispatch optimization is formulated and, based on the case studies, further tailored by adding several institutions of China’s partially-liberalized system (Chapter 4). The model generates a reference picture of three of the systems as well as quantitative contributions of relevant institutions (Chapter 5). Insights from qualitative and quantitative approaches are combined iteratively for more parsimonious findings (Chapter 6).

This dissertation disentangles the causes of curtailment, focusing on the directional and relative contributions of institutions, technical issues, and potential interactive effects. Wind curtailment is found to be closely tied to engineering constraints, such as must-run combined heat and power (CHP) in northern winters. However, institutional causes—inflexibilities in both scheduling and inter-provincial trading—have a larger impact on curtailment rates. Technical parameters that are currently set administratively at the provincial level (e.g., coal generator minimum outputs) are a third and important leading cause under certain conditions.

To assess the impact of China’s broader reform of the electricity system on wind curtailment, this dissertation examines in detail “marketizing” experiments. In principle, spot markets for electricity naturally prioritize wind, with near zero marginal cost, thereby contributing to low curtailment. However, China has not yet created a spot market and this dissertation finds that its implementation of other electricity markets in practice operates far from ideal. Market designs follow a similar pattern of relying on dual-track prices and out-of-market parameters, which, in the case of electricity, leave several key institutional causes of inefficiency and curtailment untouched. Compared to other sectors with successful marketization occurring when markets “grow out of the plan,” all of the major electricity experiments examined show deficiencies in their ability to transition to an efficient market and to cost-effectively integrate wind energy.

Although China’s setting is institutionally very different, results support implementation of many elements of standard electricity market prescriptions: prioritize regional (inter-provincial) markets, eliminate conflicts of interest in dispatch, and create a consistent central policy on “transition costs” of reducing central planning. Important for China, though overlooked in standard prescriptions: markets are enhanced by clarifying the connection between dispatch and exchange settlement. As is well established, power system efficiency is expected to achieve greatest gains with a short-term merit order dispatch and primarily financial market instruments, though some workable near-term deviations for the Chinese context are proposed. Ambiguous property rights related to generation plans have helped accelerate reforms, but also delay more effective markets from evolving. China shares similarities with the large class of emerging economies undergoing electricity market restructuring, for which this suggests research efforts should disaggregate planning from scheduling institutions, analyze the range of legacy sub-national trade barriers, and prioritize finding “second-best” liberalization options fit to country context in the form and order of institutional reforms.

Sustainable energy transitions involve the shift of resources between competing industrial sectors and political constituencies. Stakeholders in this process have varying degrees of political and economic power, and understanding how political economic factors influence clean energy transitions is crucial to effective policy formulation and facilitating transitions to sustainable energy systems. In partnership with the Joint Institute for Strategic Energy Analysis (JISEA), UNU-WIDER gathered together a substantial group of experts from around the world—from both developed and developing countries—to launch a multidisciplinary research project seeking to contribute to our enhanced understanding of these factors. The project sought to facilitate an energy transition that will generate very large environmental and economic benefits, particularly over the long run. The beneficiaries of clean energy transitions are highly diffuse and include future generations not yet born. This book is the distilled essence of the cross-cutting academic project. I express my sincere and professional appreciation to the large group of expert authors for their dedication to the project, and to my fellow editors in helping bring together the book for readers to enjoy and absorb along with the findings and policy implications.

Growing global food demand, climate change and climate policies favoring bioenergy production are expected to increase pressures on water resources around the world. Many analysts predict that water shortages will constrain the ability of farmers to expand irrigated cropland, which would be critical to ramping up production of both food and bioenergy crops. If true, bioenergy production and food consumption would decline amid rising food prices and pressures to convert forests to rain-fed farmland.

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