scholarly journals Spatial demand forecasting based on smart meter data for improving local energy self‐sufficiency in smart cities

2021 ◽  
Author(s):  
Ayumu Miyasawa ◽  
Shogo Akira ◽  
Yu Fujimoto ◽  
Yasuhiro Hayashi
Author(s):  
Joong-Lyul Lee ◽  
Prashanth BusiReddyGari ◽  
Brianna Thompson
Keyword(s):  

Author(s):  
Roberto Pagani ◽  
Gian Vincenzo Fracastoro

The post-shock scenario is outlined: an uncertain future with a “new normality.” The embryos of the new paradigm are alongside the powerful discontinuity generated by COVID-19. With examples and anecdotes from Shanghai and China, a transformation already underway is portrayed. No more perfect shock could be thought to reconsider the role of humans on this planet, on our cities. There is a crucial need for resilience of local systems, for short chains, for autonomous energy and food self-sufficiency, for decentralizing essential products. Security and contingency plans are needed and must operate on a global scale, but at the same time at the country and the city level. The future must be reinvented, acting in depth, for shifting from “exploitation” to “cooperation” with natural systems. Topics are education, work, services, transport, food safety.


IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 7877-7898 ◽  
Author(s):  
William Hurst ◽  
Casimiro Aday Curbelo Montanez ◽  
Nathan Shone ◽  
Dhiya Al-Jumeily

Smart Cities ◽  
2020 ◽  
Vol 3 (4) ◽  
pp. 1173-1186
Author(s):  
William Hurst ◽  
Bedir Tekinerdogan ◽  
Ben Kotze

Carbon emission is a prominent issue, and smart urban solutions have the technological capabilities to implement change. The technologies for creating smart energy systems already exist, some of which are currently under wide deployment globally. By investing in energy efficiency solutions (such as the smart meter), research shows that the end-user is able to not only save money, but also reduce their household’s carbon footprint. Therefore, in this paper, the focus is on the end-user, and adopting a quantitative analysis of the perception of 1365 homes concerning the smart gas meter installation. The focus is on linking end-user attributes (age, education, social class and employment status) with their opinion on reducing energy, saving money, changing home behaviour and lowering carbon emissions. The results show that there is a statistical significance between certain attributes of end-users and their consideration of smart meters for making beneficial changes. In particular, the investigation demonstrates that the employment status, age and social class of the homeowner have statistical significance on the end-users’ variance; particularly when interested in reducing their bill and changing their behaviour around the home.


2021 ◽  
Vol 39 (1) ◽  
pp. 1-11
Author(s):  
Valeria Todeschi ◽  
Paolo Marocco ◽  
Guglielmina Mutani ◽  
Andrea Lanzini ◽  
Massimo Santarelli

In Europe, 70% of citizens live in urban areas and consume around 75% of the primary energy supply. In order to reduce the impact of energy consumption and improve the competitiveness of local energy systems, Energy Communities may help to address the challenges of urban sustainability and energy security through local energy production and self-consumption. Solar, biomass and wind are the main sources of renewable energy that are generally used in cities. However, not all the sources available in urban environment are usable, due to the limited availability, or other technical or non-technical limits and constraints. In order to promote renewable energy technologies in buildings it is necessary to consider architectural, cultural, energy, technical and economic feasibility. This work defines a methodology for the optimal design of grid connected PV-battery systems in urban environments. The model was applied to two districts located in the city of Turin with the aim of evaluating the technical feasibility of combining multiple residential users at city level. The purpose of this work is to promote self-consumption and self-sufficiency from the network, using the integration of solar energy with PV-battery systems, and to reduce electrical losses in favor of both the single user and the distribution system. Results show that different values of self-sufficiency and self-consumption can be reached depending on the shape and dimension of each building. It was shown that it is possible to satisfy the current requirements to become an Energy Community in an urban environment with good levels of self-sufficiency.


2020 ◽  
Author(s):  
Koteswara Rao Dagani ◽  
Satish Kumar Regonda

<p>Self-sufficiency in water, food, and energy become major concerns of cities in the global urbanization era. To reach the self-sufficiency goals of cities, they depend more on external water resources, in the form of trade and imports to satisfy the water demands, which came into the focus with rapid urbanization. In this scenario, cities must measure their consumption, to know their dependence on external resources, and to draft their trade policies. But, it is tough to scale the dependency of cities on external resources at the city scale, in scarce of city-level trade data.</p><p>Here we are proposing a framework using the consumer-centric approach to scale dependency of an urban agglomeration, from consumption and production perspectives when there is no city-level trade data. In the consumption perspective, we used survey data provided by the National Sample Survey organization of India to asses the consumption footprints. In the production perspective, we used production statistics of the study area to assess the production footprints. The difference between the consumption and production WF will give the dependency of agglomeration on external resources. From the consumption perspective, the consumption WF of the study area is 1041 m<sup>3</sup>/cap/year.</p><p>This framework is flexible and can be switched between any two or more entities to know the dependency of cities on external resources for their resources. Moreover, this assessment plays a key role in trade policy decisions and also in scaling the consumption and dependency of cities to achieve self-sufficiency and sustainability goals of smart cities.</p>


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