Climate policy costs of spatially unbalanced growth in electricity demand: the case of datacentres. ESRI Working Paper No. 657 March 2020

We investigate the power system implications of the anticipated expansion in electricity demand by datacentres. We perform a joint optimisation of Generation and Transmission Expansion Planning considering uncertainty in future datacentre growth under various climate policies. Datacentre expansion imposes significant extra costs on the power system, even under the cheapest policy option. A renewable energy target is more costly than a technology-neutral carbon reduction policy, and the divergence in costs increases non-linearly in electricity demand. Moreover, a carbon reduction policy is more robust to uncertainties in projected demand than a renewable policy. High renewable targets crowd out other low-carbon options such as Carbon Capture and Sequestration. The results suggest that energy policy should be reviewed to focus on technology-neutral carbon reduction policies

Electricity Restructuring and Regional Air Pollution

This paper investigates the regional air pollution effects that could result from new opportunities for inter-regional power transmission in the wake of more competitive electricity markets. The regional focus is important because of great regional variation in the vintage, efficiency and plant utilization rates of existing generating capacity, as well as differences in emission rates, cost of generation and electricity price. Increased competition in generation could open the door to changes in the regional profile of generation and emissions. We characterize the key determinant of changes in electricity generation and transmission as the relative cost of electricity among neighboring regions. In general, low cost regions are expected to export power generated by existing coal-fired facilities to higher cost regions. The key determinant of how much additional power would be traded is the uncommitted electricity transfer capability between regions, including its possible future expansion. The changes in emissions of NOx and CO2 that result are modeled as a function of the average emission rate for each pollutant in each region, coupled with assumptions about the extent of displacement of nuclear or coal-fired generation in the importing regions. Finally, we employ an atmospheric transport model to predict the changes in atmospheric concentrations of in each region as a consequence of changes in generation for inter-regional transmission. In the year 2000, we estimate national emission changes for NOx could increase by 213,000 to 478,900 tons under the scenarios we think most likely, compared to the baseline. Under our benchmark scenario, we find national emissions of NOx would increase by 349,900 tons. The changes in NOx emissions should be considered in the context of an expected decrease in annual emissions nationally of over 2 million tons that will result from full implementation of the 1990 Clean Air Act Amendments over the next few years. The increase in emissions that we estimate serve to undo a small portion of the expected improvement in air quality that would occur otherwise. Nonetheless, these changes would yield relative increases in atmospheric concentrations of particulates with measurable adverse health effects. We estimate the consequences for increased national CO2 emissions will range from 75 to 133.9 million tons. Our benchmark suggests an increase of 113.50 million tons, equal in magnitude to about 40% of the reductions needed by the year 2000 under the Climate Change Action Plan. Our estimate of NOx emission changes is less than other studies, with the exception of the FERC EIS, primarily because we explicitly take into account capacity constraints on inter-regional transmission and use different emission rates. Our estimate is greater than the FERC EIS because we allow for a portion of the power generated for inter-regional transmission to meet new demand stimulated by an anticipated decline in price. Second, we allow a portion of imported power to back out higher cost nuclear rather than fossil baseload. These are important economic changes that we believe will characterize a more competitive industry, and which point toward potentially more significant environmental consequences than recognized in the FERC EIS. Because we focus on increased generation from coal facilities, we characterize our findings as a worst case interim outcome under restructuring. However, we also think it is the most likely result of increased competition resulting from industry restructuring over the next few years. Our estimated emission changes are compared with those of previous studies in Table 13. The features of these various studies are summarized in Table 1. Our analysis of alternative scenarios yields considerable variation in the predicted levels of emissions and where they occur. This leads us to offer our results with caution, and to have less confidence in the outcomes of previous studies because of the sensitivity of results to the variety of factors that we think important. One of the central questions in the restructuring debate concerns what would happen to air quality in regions neighboring those where generation may increase, with special concern focused on potential changes in the Northeast. We find the changes in pollutant concentrations resulting from changes in NOx emissions (excluding secondary ozone changes) would be substantially greater in regions where generation is increasing than in neighboring regions. The region likely to experience the largest adverse changes in air quality resulting from changes in generation is the Ohio Valley (the ECAR power pool region). For instance, in our benchmark scenario, the population weighted changes in atmospheric concentration of nitrates is 2-3 times as great in the Ohio Valley and the Southeast (SERC) as in the Mid-Atlantic region (MAAC) and 3-4 times as great as in the Northeast (NPCC). These results are reported in Tables 11a and 11b, and illustrated graphically in Figure 2 of the conclusion. The likelihood of adverse impacts on NOx and nitrate concentrations in some regions as a result of restructuring suggests the need for a policy response to ensure that electricity restructuring does not lead to significant environmental degradation in any one area. If these changes merit a regulatory response, the regional variation in effects, and various sources of uncertainty about effects that may result, suggest the need for a flexible policy. One flexible approach that would ensure that changes do not lead to significant environmental degradation in any one area, while also avoiding unnecessary investments where emission changes do not occur, would be an intra- regional cap and trade program for NOx emissions from electric utilities. However, such an industry-specific program should be eclipsed if a more comprehensive program can be implemented by EPA permitting cost savings from inter-industry trades.

Investment in Electricity Transmission and Ancillary Environmental Benefits

Planning of the electricity transmission system generally focuses on the pros and cons of providing generation close to the source of the power demand versus remote generation linked via the transmission system. Recent electricity supply problems in the western United States have renewed interest in the role of transmission in assuring the reliability of electricity supply. Recently, the Western Governors’ Association led the development of a planning exercise that examined the tradeoffs over the next 10 years between locating new natural gas powered generation close to the load centers versus new coal, wind, hydro, and geothermal generation in remote areas. Although the analysis concentrated on the direct system costs, the choice of new generation will have both local and global environmental impacts. This paper examines some of the “ancillary” environmental effects of electricity transmission decisions using a suite of models that combine to provide an integrated assessment.electricity, transmission, air pollution, ancillary benefits, nitrogen oxides, sulfur dioxide, carbon dioxide

Large Scale Deployment of Renewables for Electricity Generation

Comparisons of resource assessments suggest resource constraints are not an obstacle to the large-scale deployment of renewable energy technologies. Economic analysis identifies barriers to the adoption of renewable energy sources resulting from market structure, competition in an uneven playing field and various non-market place barriers. However, even if these barriers are removed, the problem of ‘technology lock-out’ remains. The key policy response is strategic deployment coupled with increased R&D support to accelerate the pace of improvement through market experience. The paper suggests significant contributions from various technologies, but does not assess their optimal or maximal market share

Buffering volatility : storage investments and technology-specific renewable energy support

Mitigating climate change will require integrating large amounts of highly intermittent renewable energy (RE) sources in future electricity markets. Considerable uncertainties exist about the cost and availability of future large-scale storage to alleviate the potential mismatch between demand and supply. This paper examines the suitability of regulatory (public policy) mechanisms for coping with the volatility induced by intermittent RE sources, using a numerical equilibrium model of a future wholesale electricity market. We find that the optimal RE subsidies are technology-specific reflecting the heterogeneous value for system integration. Differentiated RE subsidies reduce the curtailment of excess production, thereby preventing costly investments in energy storage. Using a simple cost-benefit framework, we show that a smart design of RE support policies significantly reduces the level of optimal storage. We further find that the marginal benefits of storage rapidly decrease for short-term (intra-day) storage and are small for long-term (seasonal) storage independent of the storage level. This suggests that storage is not likely to be the limiting factor for decarbonizing the electricity sector

Market and Economic Modelling of the Intelligent Grid: End of Year Report 2009

The overall goal of Project 2 has been to provide a comprehensive understanding of the impacts of distributed energy (DG) on the Australian Electricity System. The research team at the UQ Energy Economics and Management Group (EEMG) has constructed a variety of sophisticated models to analyse the various impacts of significant increases in DG. These models stress that the spatial configuration of the grid really matters - this has tended to be neglected in economic discussions of the costs of DG relative to conventional, centralized power generation. The modelling also makes it clear that efficient storage systems will often be critical in solving transient stability problems on the grid as we move to the greater provision of renewable DG. We show that DG can help to defer of transmission investments in certain conditions. The existing grid structure was constructed with different priorities in mind and we show that its replacement can come at a prohibitive cost unless the capability of the local grid to accommodate DG is assessed very carefully.Distributed Generation. Energy Economics, Electricity Markets, Renewable Energy

Flexible Transmission Network Planning Considering the Impacts of Distributed Generation

The restructuring of global power industries has introduced a number of challenges, such as conflicting planning objectives and increasing uncertainties,to transmission network planners. During the recent past, a number of distributed generation technologies also reached a stage allowing large scale implementation, which will profoundly influence the power industry, as well as the practice of transmission network expansion. In the new market environment, new approaches are needed to meet the above challenges. In this paper, a market simulation based method is employed to assess the economical attractiveness of different generation technologies, based on which future scenarios of generation expansion can be formed. A multi-objective optimization model for transmission expansion planning is then presented. A novel approach is proposed to select transmission expansion plans that are flexible given the uncertainties of generation expansion, system load and other market variables. Comprehensive case studies will be conducted to investigate the performance of our approach. In addition, the proposed method will be employed to study the impacts of distributed generation, especially on transmission expansion planning.

Determining Utility System Value of Demand Flexibility From Grid-interactive Efficient Buildings

This report focuses on ways current methods and practices that establish the value to electric utility systems of distributed energy resource (DER) investments can be enhanced to determine the value of demand flexibility in grid-interactive efficient buildings that can provide grid services. The report introduces key valuation concepts that are applicable to demand flexibility that these buildings can provide and links to other documents that describe these concepts and their implementation in more detail.The scope of this report is limited to the valuation of economic benefits to the utility system. These are the foundational values on which other benefits (and costs) can be built. Establishing the economic value to the grid of demand flexibility provides the information needed to design programs, market rules, and rates that align the economic interest of utility customers with building owners and occupants. By nature, DERs directly impact customers and provide societal benefits external to the utility system. Jurisdictions can use utility system benefits and costs as the foundation of their economic analysis but align their primary cost-effectiveness metric with all applicable policy objectives, which may include customer and societal (non-utility system) impacts.This report suggests enhancements to current methods and practices that state and local policymakers, public utility commissions, state energy offices, utilities, state utility consumer representatives, and other stakeholders might support. These enhancements can improve the consistency and robustness of economic valuation of demand flexibility for grid services. The report concludes with a discussion of considerations for prioritizing implementation of these improvements