This article examines employee perceptions of the implementation of a local authority race equality plan in the United Kingdom. It explores the way in which the changed landscape of local authorities in the 1990s affected the implementation of race equality policies. We seek to shed light on black and ethnic minority people’s experiences of their treatment within organizations in the context of the appearance of ‘institutional racism’ on the UK public agenda. We do so whilst recognizing the complex interplay of race and gender in perceptions and experiences of organizational inequalities. The analysis focuses on employee perceptions of the culture of the authority and of the performance, ownership and efficacy of the race equality plan. The article highlights the importance of exploring and understanding workforce perceptions of equal opportunities policies.
Increased Demand Response (DR) is essential to fully exploit European power systems, which in turn is an absolute prerequisite for meeting European targets related to energy efficiency and climate change. Essentially DR involves consumers reducing or shifting their electricity usage during periods of peak electricity demand in response to time-based tariffs or other forms of financial incentives. The opportunities for realising demand response vary across Europe as they are dependent on the particular regulatory, market and technical contexts in different European counties. Nevertheless successful DR programs are becoming increasingly common for large industrial customers. However DR programs aimed at small and medium scale customers have mostly failed to meet their expected potential. Blocks of buildings offer more flexibility in the timing of energy use, local energy generation and energy storage than single buildings and as such researchers and the energy industry are beginning to consider how blocks of buildings can operate collectively within energy networks to enhance the effectiveness of DR programs. This paper identifies the opportunities and technical, market and regulatory requirements for
As Internet of Things (IoT) technologies enable greater communication between energy assets in smart cities, the operational coordination of various energy networks in a city or district becomes more viable. Suitable tools are needed that can harness advanced control and machine learning techniques to achieve environmental, economic and resilience objectives. In this paper, an energy management tool is presented that can offer optimal control, scheduling, forecasting and coordination services to energy assets across a district, enabling optimal decisions under user-defined objectives. The tool presented here can coordinate different subsystems in a district to avoid the violation of high-level system constraints and is designed in a generic fashion to enable transferable use across different energy sectors. The work demonstrates the potential for a single open-source optimisation framework to be applied across multiple energy vectors, providing local government the opportunity to manage different assets in a coordinated fashion. This is shown through case studies that integrate low-carbon communal heating for social housing with electric vehicle charge-point management to achieve high-level system constraints and local government objectives in the borough of Greenwich, London. The paper illustrates the theoretical methodology, the software architecture and the digital twin-based testing environment underpinning the proposed approach.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.