Geospatial multi-criteria analysis for identifying high priority clean energy investment opportunities: A case study on land-use conflict in Bangladesh

Bangladesh is a globally important emerging economy with rapidly increasing energy demand. The Bangladeshi government's primary capacity expansion plan is to install 13.3 GW of new coal by 2021, including the 1.3 GW Rampal coal power plant to be developed in the Sundarbans. Inadequate geospatial and economic information on clean energy investment opportunities are often a significant barrier for policy makers. Our study helps fill this gap by applying a new method to assess energy investment opportunities, with focus on understanding land-use conflicts, particularly important in this context as Bangladesh is constrained on land for agriculture, human settlements, and ecological preservation. By extending a geospatial multi-criteria analysis model (MapRE) we analyze the cost of various renewable energy generation technologies based on resource availability and key siting criteria such as proximity to transmission and exclusion from steep slopes, dense settlements or ecologically sensitive areas. We find there is more utility-scale solar potential than previously estimated, which can be developed at lower costs than coal power and with minimal cropland tradeoff. We also find significant potential for decentralized roof-top solar in commercial and residential areas. Even with a conservative land use program that reserves maximum land for agriculture and human settlement, there is more renewable energy capacity than needed to support Bangladeshi growth. This study provides critical and timely information for capacity expansion planning in South Asia and demonstrates the use of geospatial models to support decision-making in data-limited contexts

Reconsidering the calculation and role of environmental footprints

Following the recent Copenhagen Climate Change conference, there has been discussion of the methods and underlying principles that inform climate change targets. Climate change targets following the Kyoto Protocol are broadly based on a production accounting principle (PAP). This approach focuses on emissions produced within given geographical boundaries. An alternative approach is a consumption accounting principle (CAP), where the focus is on emissions produced globally to meet consumption demand within the national (or regional) economy1. Increasingly popular environmental footprint measures, including ecological and carbon footprints, attempt to measure environmental impacts based on CAP methods. The perception that human consumption decisions lie at the heart of the climate change problem is the impetus driving pressure on policymakers for a more widespread use of CAP measures. At a global level of course, emissions accounted for under the production and consumption accounting principles would be equal. It is international trade that leads to differences in emissions under the two principles. This paper, the second in this special issue of the Fraser Commentary, examines how input-output accounting techniques may be applied to examine pollution generation under both of these accounting principles, focussing on waste and carbon generation in the Welsh economy as a case study. However, we take a different focus, arguing that the ‘domestic technology assumption’, taken as something of a mid-point in moving between production and consumption accounting in the first paper, may actually constitute a more useful focus for regional policymakers than full footprint analyses

The electricity generation mix in Scotland : the long and windy road?

This article reports on research funded by the Engineering and Physical Sciences Research Council (EPSRC) at the University of Strathclyde

An Intelligent Fuse-box for use with Renewable Energy Sources integrated within a Domestic Environment

This paper outlines a proposal for an intelligent fuse-box that can replace existing fuse-boxes in a domestic context such that a number of renewable energy sources can easily be integrated into the domestic power supply network, without the necessity for complex islanding and network protection. The approach allows intelligent control of both the generation of power and its supply to single or groups of electrical appliances. Energy storage can be implemented in such a scheme to even out the power supplied and simplify the control scheme required, and environmental monitoring and load analysis can help in automatically controlling the supply and demand profiles for optimum electrical and economic efficiency. Simulations of typical scenarios are carried out to illustrate the concept in operation

ECONOMIC Potential of Renewable Energy in Vietnam's Power Sector

A bottom-up Integrated Resource Planning model is used to examine the economic potential of renewable energy in Vietnam’s power sector. In a baseline scenario without renewables, coal provides 44% of electricity generated from 2010 to 2030. The use of renewables could reduce that figure to 39%, as well as decrease the sector’s cumulative emission of CO2 by 8%, SO2 by 3%, and NOx by 4%. In addition,renewables could avoid installing 4.4GW in fossil fuel generating capacity, conserve domestic coal,decrease coal and gases imports, improving energy independence and security. Wind could become cost-competitive assuming high but plausible on fossil fuel prices, if the cost of the technology falls to 900 US$/kW

The political economy of decarbonisation: exploring the dynamics of South Africa’s electricity sector

South Africa’s coal-dominated electricity sector, a key feature of the country’s minerals-energy complex, is in crisis and subject to change. This offers potential opportunities for decarbonisation. Despite positive examples of decarbonisation in South Africa’s electricity sector, such as a procurement programme for renewable energy, there are structural path dependencies linked to coal-fired generation and security of supply. Decarbonisation goes far beyond what is technologically or even economically feasible, to encompass a complexity of political, social and economic factors. Meanwhile, decision-making in electricity is highly politicised and lack of transparency and power struggles in the policy sphere pose key challenges. Such power struggles are reflected in national debates over which technologies should be prioritised and the institutional arrangements that should facilitate them

An Introduction to Institutional Renewable Energy Procurement Options in Massachusetts

The report addresses the conundrum that although the price of renewable energy has dropped, the cost of completing a transaction for wind or solar energy remains high. This is because the deals are customized and complicated and because there is usually a steep learning curve for institutional purchasers like universities, hospitals, and businesses, which are accustomed to a more traditional energy procurement process. The report identifies and explains common approaches and strategies to guide institutional purchasers, with the goal of reducing both flattening the curve and reducing the costs

Labor Leading on Climate: A Policy Platform to Address Rising Inequality and Rising Sea Levels in New York State

With the renewed need for state action, this paper presents a case study of a labor-led initiative in New York State that seeks to address both economic inequality and the climate crisis. It discusses how organized labor, which has historically represented fossil fuel workers and has not been seen as a traditional climate ally, put forth a comprehensive climate jobs plan that could meaningfully reduce carbon emissions while also creating good, family-sustaining jobs to reduce income inequality. As the need for a broader coalition to advocate for sensible climate policy increases, this case study provides a road map for states across the country on how non-traditional allies can come together around a policy agenda that fights both inequality and climate change

Valuing the attributes of renewable energy investments in Scotland

This study was funded by a grant from the Scottish Economic Policy Network (SEPN) with funding assistance provided by the University of Glasgow, Department of Economics (Professor Nick Hanley) and the University of Sterling (Robert Wright). The goal of the project was to determine the value of differing types of renewable energy projects by how they would effect environmental and community quality of life factors. The key issues examined include; air quality, landscape, wildlife, and long term local employment. Stated preference methods were employed through the use of a discrete choice experiment survey approach. Willingness-to-pay for different types of renewable energy projects was estimated, i.e., moderate onshore windmill farms, large onshore windmill farms, offshore windmill farms, and biomass fueled power plants. The most significant findings were that rural areas likely to be most highly impacted by the new energy projects were willing to accept low or moderate environmental damage in exchange for commercial development gains. Urban respondents on the other hand were more likely to oppose any disturbance to the landscape or wildlife and had no value placed on the economics development gains for the rural areas; income level of households showed no significant difference in environmental values