scholarly journals A Review of Energy Modeling Tools for Energy Efficiency in Smart Cities

Smart Cities ◽  
2021 ◽  
Vol 4 (4) ◽  
pp. 1420-1436
Author(s):  
Fernando Martins ◽  
Carlos Patrão ◽  
Pedro Moura ◽  
Aníbal T. de Almeida
Keyword(s):  
Energy Efficiency ◽  
Best Practice ◽  
Smart Cities ◽  
Energy Systems ◽  
Performance Criteria ◽  
First Principle ◽  
Modeling Tools ◽  
Time Horizons ◽  
Electre Tri ◽  
Crucial Part

Nowadays, modeling tools are a crucial part of best practice in the elaboration and implementation of a decarbonization plan in any organization, city, or country. The present review analyzes the different modeling tools available to assess energy systems in smart cities. It creates an updated overview of the modeling tools currently available, showing their capabilities and main potential outputs when considering the energy efficiency objective in the context of smart cities in Europe. A restricted set of 14 tools are identified which optimally fulfill the modeling mission of the energy sector, in a smart city context, for different time horizons. The selection considers the capability to include decarbonization assessments, namely, by considering the flexibility to use different external factors, energy policies, technologies, and mainly the implementation of Article 7 from the Energy Efficiency Directive and the “energy efficiency first” principle defined by the European Commission. The ELECTRE TRI method was used to implement a multi-criteria decision approach for sorting modeling tools, aiming at distributing the various alternatives by previously defined categories, and considering the performance criteria of each alternative modeling tool, the analysis suggests that the best options are the LEAP, MESSAGEix, and oemof tools.

Influence of Social and Environmental Responsibility in Energy Efficiency Management for Smart City

2021 ◽  
pp. 2141002
Author(s):  
Zang Huiyi ◽  
C Chandru Vignesh ◽  
J Alfred Daniel
Keyword(s):  
Energy Efficiency ◽  
Labour Market ◽  
Smart City ◽  
Smart Cities ◽  
New Technology ◽  
Environmental Responsibility ◽  
Management Skills ◽  
Critical Approach ◽  
Social Competencies ◽  
Matching Criteria

Sustainability is becoming one of the organizational plans of intelligent communities. They represent the critical approach to a prosperous future. In another direction, the smart city is aimed at tackling renewable energy challenges. This research explores energy conservation’s impact from a labour market viewpoint of the Efficient Smart Cities model. The study meets the study divide on developing the power manager career in cities environmentally urban paradigm. This research’s primary purpose is to establish a current detailed approach to certification bodies’ skills that focus on new technology. The proposed Social and environmental responsibility in energy efficiency management for the Smart City (SER-EEM) framework represents the convergence between the conceptual and functional methods. For the presentation of labour market scientific studies, qualitative data were shown. The conclusion is that conservation and cloud computing are the central components of the Sustainable Smart City model. Work market analysis divided energy executives into developing nation’s expertise in terms of quantity and composition of production, and matching criteria for qualification were identified. The power management’s capability model comprises many core categories related to particular expertise, social competencies and behavioural competencies. By incorporating this study of resource management skills in industrial and non-commercial companies such as educational institutions and training classes, current research results will lead to development and awareness.

scholarly journals District Energy Systems: A Collaborative Exchange of Results on Planning, Operation and Modelling for Energy Efficiency

Proceedings ◽  
2018 ◽  
Vol 2 (15) ◽  
pp. 1127 ◽  
Author(s):  
Tatiana Loureiro ◽  
Miika Rämä ◽  
Raymond Sterling ◽  
Marco Cozzini ◽  
Meritxell Vinyals ◽  
...  
Keyword(s):  
Energy Efficiency ◽  
District Heating ◽  
Energy Systems ◽  
Collaborative Activity ◽  
District Energy ◽  
Heating And Cooling

Workshop organized by INDIGO project as a collaborative activity among EU funded projects in the area of District Heating and Cooling. The objective of the workshop was twofold: (1) to create a cluster of European funded projects working in the area of District Energy Systems; and (2) to create a networking opportunity in which to share experiences on the results and difficulties of the researches, and to identify synergies.

A Systematic Planning Tool for Environmental Characterisation

2009 ◽  
Author(s):  
Steven Wilcox ◽  
Richard Wilkins ◽  
Martin Lyons
Keyword(s):  
Best Practice ◽  
Planning Process ◽  
Cost Effective ◽  
Decision Makers ◽  
Performance Criteria ◽  
Final Decision ◽  
Cost Effective Approach ◽  
Systematic Planning ◽  
Sample Plan

Many organisations are currently dealing with long standing legacy issues in clean up, decommissioning and demolition projects. Industry is required to ensure that all bulk articles, substances and waste arisings are adequately characterised and assigned to the correct disposal routes in compliance with UK legislation and best practice. It is essential that data used to support waste sentencing is of the correct type, quality and quantity, and that it is appropriately assessed in order to support defensible, confident decisions that account for inherent uncertainties. AMEC has adopted the Data Quality Objectives (DQO) based methodology and the software package Visual Sample Plan (VSP) to provide a better, faster, and more cost effective approach to meeting regulatory and client requirements, whilst minimising the time spent gathering data and assessing the information. The DQO methodology is based on a scientific approach that requires clear objectives to be established from the outset of a project and that there is a demonstration of acceptability of the results. Through systematic planning, the team develops acceptance or performance criteria for the quality of the data collected and for the confidence in the final decision. The systematic planning process promotes communication between all departments and individuals involved in the decision-making process thus the planning phase gives an open and unambiguous method to support the decisions and enables the decision-makers (technical authorities on the materials of concern) to document all assumptions. The DQO process allows better planning, control and understanding of all the issues. All types of waste can be sentenced under one controllable system providing a more defensible position. This paper will explain that the DQO process consists of seven main steps that lead to a detailed Sampling and Analysis Plan (SAP). The process gives transparency to any assumptions made about the site or material being characterised and identifies individuals involved. The associated calculation effort is reduced using the statistically based sampling models produced with VSP. The first part of this paper explains the DQO based methodology and Visual Sample Plan and the second part shows how the DQO process has been applied in practice.

scholarly journals IMPROVING THE ENERGY EFFICIENCY OF SMART CITIES DURING THE COVID-19 PANDEMIC

2021 ◽  
Vol 229 (3) ◽  
pp. 354-364
Author(s):  
MAKSIM D. PUSHKAREV ◽  
◽  
DMITRY A. PROKOFIEV ◽  
Keyword(s):  
Energy Efficiency ◽  
Smart City ◽  
Smart Cities ◽  
Urban Infrastructure ◽  
High Tech ◽  
The World ◽  
The Impact

Smart city technologies make the functioning of urban infrastructure more efficient, and the lives of citizens more comfortable and safe. During the COVID-19 pandemic, they were very popular, and this could not but affect the energy efficiency of high-tech megacities around the world. This article examines the impact of the COVID-19 pandemic on smart cities, and also offers a solution to the problem of energy efficiency of smart cities.

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