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| Author |
Sloane, M.; Slater, D.; Entwistle, J. |
| Title |
Tackling Social Inequalities in Public Lighting |
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Journal Article |
| Year |
2016 |
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Society |
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2This report is based on research findings of the Configuring Light/Staging the Social research programme (CL) based at the London School of Economics and Political Science (LSE), as well as on discussions of the Configuring Light expert working group. Consisting of high-profile experts and stakeholders in the fields of design, planning and policy-making, this group was established by CL to develop a new agenda for tackling social inequalities in public lighting. Members of the working group are listed at the end of this document.This project was run by the LSE-based Configuring Light/Staging the Social research programme and funded by LSE Knowledge Exchange and Impact funding. |
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London School of Economics |
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GFZ @ kyba @ |
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2528 |
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| Author |
Xie, Y.; Weng, Q. |
| Title |
Detecting urban-scale dynamics of electricity consumption at Chinese cities using time-series DMSP-OLS (Defense Meteorological Satellite Program-Operational Linescan System) nighttime light imageries |
Type |
Journal Article |
| Year |
2016 |
Publication |
Energy |
Abbreviated Journal |
Energy |
| Volume |
100 |
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Pages |
177-189 |
| Keywords |
Remote Sensing |
| Abstract |
A better understanding of the spatiotemporal pattern of energy consumption at the urban scale is significant in the interactions between economic activities and environment. This study assessed the spatiotemporal dynamics of EC (electricity consumption) in UC (urban cores) and SR (suburban regions) in China from 2000 to 2012 by using remotely sensed NTL (nighttime light) imagery. Firstly, UC and SR were extracted using a threshold technique. Next, provincial level model was calibrated yearly by using Enhanced Vegetation Index and population-adjusted NTL data as independent variables. These models were then applied for pixel-based estimation to obtain time-series EC data sets. Finally, the spatiotemporal pattern of EC in both UC and SR were explored. The results indicated that the proportion of EC in urban areas rose from 50.6% to 71.32%, with a growing trend of spatial autocorrelation. Cities with high urban EC were either located in the coastal region or belonged to provincial capitals. These cities experienced a moderate to a rapid growth of EC in both UC and SR, while a slow growth was detected for the majority of western and northeastern cities. The findings suggested that EC in SR was more crucial for sustainable energy development in China. |
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0360-5442 |
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GFZ @ kyba @ |
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2489 |
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Shi, K.; Chen, Y.; Yu, B.; Xu, T.; Yang, C.; Li, L.; Huang, C.; Chen, Z.; Liu, R.; Wu, J. |
| Title |
Detecting spatiotemporal dynamics of global electric power consumption using DMSP-OLS nighttime stable light data |
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Journal Article |
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2016 |
Publication |
Applied Energy |
Abbreviated Journal |
Applied Energy |
| Volume |
184 |
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Pages |
450-463 |
| Keywords |
Remote Sensing |
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The rapid development of global industrialization and urbanization has resulted in a great deal of electric power consumption (EPC), which is closely related to economic growth, carbon emissions, and the long-term stability of global climate. This study attempts to detect spatiotemporal dynamics of global EPC using the Defense Meteorological Satellite Program’s Operational Linescan System (DMSP-OLS) nighttime stable light (NSL) data. The global NSL data from 1992 to 2013 were intercalibrated via a modified invariant region (MIR) method. The global EPC at 1 km resolution was then modeled using the intercalibrated NSL data to assess spatiotemporal dynamics of EPC from a global scale down to continental and national scales. The results showed that the MIR method not only reduced the saturated lighted pixels, but also improved the continuity and comparability of the NSL data. An accuracy assessment was undertaken and confined that the intercalibrated NSL data were relatively suitable and accurate for estimating EPC in the world. Spatiotemporal variations of EPC were mainly identified in Europe, North America, and Asia. Special attention should be paid to China where the high grade and high-growth type of EPC covered 0.409% and 1.041% of the total country area during the study period, respectively. The results of this study greatly enhance the understanding of spatiotemporal dynamics of global EPC at the multiple scales. They will provide a scientific evidence base for tracking spatiotemporal dynamics of global EPC. |
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0306-2619 |
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GFZ @ kyba @ |
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2486 |
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| Author |
Xie, Y.; Weng, Q. |
| Title |
World energy consumption pattern as revealed by DMSP-OLS nighttime light imagery |
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Journal Article |
| Year |
2016 |
Publication |
GIScience & Remote Sensing |
Abbreviated Journal |
GIScience & Remote Sensing |
| Volume |
53 |
Issue |
2 |
Pages |
265-282 |
| Keywords |
Remote Sensing |
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Remotely sensed nighttime light (NTL) from the Defense Meteorological Satellite Program (DMSP) Operational Linescan System (OLS) provides a spatially consistent and cost-effective mean to estimate energy consumption pattern. While previous researches have documented the application of NTL to predict electric power consumption (EPC) with varying degrees of success, few have systematically studied the possible factors affecting the EPC-NTL relationship. Moreover, no substantial research effort has been made to relate overall energy consumption (OEC) to NTL. This study investigated key factors governing the EPC/OEC-NTL relationship by examining the influences of affluence, urbanization, technology, temperature, and NTL pattern. Results show that EPC increased with higher per capital GDP, urbanization rate, and high-technology exports, and lower agricultural development, both globally and regionally. Meanwhile, EPC generally reduced with higher temperature and more agglomerate human activities. A strong OEC-NTL relationship was found; but the influencing factors to the OEC-NTL relationship varied across regions due to the natures of energy use. These factors must be considered especially for the studies of less-affluent regions where NTL was undetectable by the DMSP-OLS sensor. |
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1548-1603 |
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GFZ @ kyba @ |
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2485 |
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| Author |
Rossi, F.; Bonamente, E.; Nicolini, A.; Anderini, E.; Cotana, F. |
| Title |
A carbon footprint and energy consumption assessment methodology for UHI-affected lighting systems in built areas |
Type |
Journal Article |
| Year |
2016 |
Publication |
Energy and Buildings |
Abbreviated Journal |
Energy and Buildings |
| Volume |
114 |
Issue |
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Pages |
96-103 |
| Keywords |
Remote Sensing; Energy |
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This paper investigates the effects of urban heat island (UHI) on outdoor lighting systems in terms of GHG emissions: a novel methodology is proposed to assess the carbon footprint (CF) change of lighting services in built areas caused by UHI-induced ΔT with particular focus on the evaluation of the energy consumption. The methodology can be applied also to other activities affected by the UHI, such as HVAC and transport systems. In particular, ΔCF was introduced by a two-fold approach: the quantification of the CF change due to UHI (as difference between CF in an UHI-affected case and CF for an UHI-less case) and the CF change produced by a 1 °C temperature change. A focus on LED lamps was developed: the lifetime of LEDs exponentially decreases with increasing temperature and the luminous flux exponentially decays with operation time. UHI (i.e. the increase in ambient temperature) affects the lifetime and the luminous flux of lamps producing higher energy consumption and higher replacement rates. Results showed that a positive ΔT due to UHI produces a positive ΔCF, which also becomes economically relevant in long-term scenarios. A case study was analyzed by applying the proposed methodology to Rome outdoor public lighting. |
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0378-7788 |
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GFZ @ kyba @ |
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2483 |
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