Methodologies for city-scale assessment of renewable energy generation potential to inform strategic energy infrastructure investment

In support of national and international policies to address climate change, local government actors across Europe and Asia are committed to reducing greenhouse gas emissions. Many recognise the contribution that decentralised renewable electricity production can bring towards reducing emissions whilst also generating revenue. However, these actors are often subject to significant financial pressures, meaning a reliable and compelling business case is needed to justify upfront investment. This article develops a method for rapid comparison of initial project viability for multiple city sites and installation options using data from wind and solar resource prediction techniques. In doing so, detailed resource assessments grounded in academic research are made accessible and useful for city practitioners. Long term average wind speeds are predicted using a logarithmic vertical wind profile. This employs detailed three-dimensional building data to estimate aerodynamic parameters for the complex urban surface. Solar resource is modelled using a Geographical Information System-based methodology. This establishes the location and geometry of roof structures to estimate insolation, whilst accounting for shading effects from other buildings and terrain features. Project viability for potential installations is assessed in terms of the net present value over the lifespan of the technology and associated Feed-in Tariff incentive. Discounted return on investment is also calculated for all sites. The methodology is demonstrated for a case study of 6,794 sites owned by Leeds City Council, UK. Results suggest significant potential for small-scale wind and solar power generation across council assets. A number of sites present a persuasive business case for investment, and in all cases, using the generated electricity on site improves financial viability. This indicates that initial installations should be sited at assets with high electricity demands. Overall, the work establishes a 2 methodology that enables large city-level asset holders to make strategic investment decisions across their entire portfolio, which are based on financial assessment of wind and solar generation potential accurate to the individual asset scale. Such tools could facilitate strategic planning within cities and help to ensure that investment in renewable energy is focused at the most viable sites. In addition, the methodology can assist with asset management at the city scale by identifying sites with a higher market value as a result of their potential for renewable energy generation than otherwise might be estimated

Correlation between simulations and measurements of an eco-house design for Mongolia

Mongolia is experiencing unprecedented urbanization along with recent economic growth. Ulaanbaatar is known to be the coldest capital in the world and heating demand is very high during the long winter season. Due to the increase of coal burning to provide heat, there is an urgent need to improve housing and to reduce energy use and air pollution. Currently, there is a revitalization of the Ger area of Mongolia and this presents a good opportunity to redevelop the region into an ecologically designed district with sustainable housing. Such a redesign will result in energy saving and air pollution reduction. With this goal in mind, a pilot project called Create Accord Living Environment (CALE), was developed to demonstrate living conditions with a new house design that is cost effective for Mongolia. This paper presents the house performance using an energy simulation and the results are correlated with measurement data taken during the wintertime. The average energy use intensity (EUI) for 5 CALE houses was found to be 112 kWh/m2/yr. This is a 71% energy savings compared to a typical detached house with a modern and efficient house design. If it is possible to redevelop 1000 houses in the Ger area, an estimated 6.5 kton/yr in carbon emission can be saved. In addition, a parametric study was conducted to investigate the impact of different construction materials, craftsmanship quality, and occupants’ behavior on the house’s energy efficiency. The proposed housing structures, which provide a comfortable living space with significantly reduced energy utilization, serves as a potential model for development both within Mongolia as well as for other similar climates

Multi-scale computing for a sustainable built environment

The need to promote sustainable human settlements and to mitigate the spatial, demographic, social, economic, and environmental impacts, determined by the rapid global urbanization trend, is creating a concentration of research and development efforts in the built environment area. Considering the urbanization trend at the global level, cities constitute a priority for research and development in sustainability transitions, which should necessarily face techno- and socio economic problems. Energy use and technology affect sustainability in its fundamental components, society, environment, and economy. This chapter introduces readers to the concept of multi-level perspective modeling in sustainability transitions planning. It describes the most relevant characteristics and attributes of modeling techniques and data schemes for built environment performance modeling. The chapter also describes ongoing research on multi-scale computing for the built environment. Finally, it discusses the essential features of methodological and computational tools for the built environment.</p