scholarly journals A review on the integration between urban and energy planning considering the planning tools

2021 ◽  
Vol 19 ◽  
pp. 189-194
Author(s):  
L. F. C. Castro ◽  
◽  
B.B. Freitas ◽  
P. C. M. Carvalho
Keyword(s):  
Urban Form ◽  
Energy Flow ◽  
Energy Demand ◽  
Energy Planning ◽  
Review Of The Literature ◽  
Individual Property ◽  
Renewable Sources ◽  
Master Plans ◽  
Global Concern ◽  
Urban Aesthetics

The increasing energy demand is a global concern, directly associated with indicators of greenhouse gases and air pollution. These, in turn, are directly related to the physical, social and economic aspects of cities. One way to minimize such impacts is to diversify the energy matrix with renewable sources. On the other hand, the use of wind and solar plants are susceptible to multiple conflicts, due to urban aesthetics, technology scale or directionality of the energy flow across individual property limits. Considering that the urban form directly impacts the energy demand and the existence of conflicts arising from the use of renewable sources, the integration between urban and energy planning plays an important role in mitigating the risks associated with the growth of renewable generation. With such motivation, we propose a comparative analysis of the main tools of urban and / or energy planning through a systematic review of the literature. The methodology of the literature review and the results are presented through a table with the evaluated functionalities: Scenarios, simulations, energy conditioning, integration with GIS systems and ability to integrate with cities master plans.

Energy Model Applied to Renewable Energy in Housing Systems

2016 ◽  
Vol 369 ◽  
pp. 135-141
Author(s):  
L.J.C. Vasconcelos ◽  
V.S. da Silva
Keyword(s):  
Renewable Energy ◽  
Energy Demand ◽  
Energy Planning ◽  
Energy Matrix ◽  
Renewable Sources ◽  
Housing Systems ◽  
World Energy ◽  
Global Events ◽  
Method Model

In recent decades, global events and extreme changes make sustainable development and renewable energy a frequent subject of discussion in numerous global meetings. To analyze the energy matrix of a region in order to optimize it sustainably, is a way to reduce the impacts of these changes. Currently, the world energy matrix is made up of 81.0 % of non-renewable sources (78.4% oil and oil products, natural gas and coal, and 2.6 % uranium) and 19.0 % from renewable sources, (traditional biomass 9.0 %, bio-heat 2.6 %, 3.8% hydropower and 3.6% others renewable energies such as solar, wind, geothermal, biodiesel, ethanol, ocean power, etc.). In this sense, the aim of this work is to establish a sustainable model of energy planning in a region taking into account local characteristics and the efficiency in the power generation for residential systems. Energy demand data was collected from different Brazilian companies. From the data obtained, it was found that the method/model used is very efficient for the case study related to the energy efficiency of housing systems using renewable energy.

PROGRESS OF RESEARCH IN NUTRITIONAL THERAPY FOR NEW CORONAVIRUS INFECTION (NARRATIVE REVIEW)

2020 ◽  
Vol 7 (11) ◽  
pp. 7-19
Keyword(s):  
Theoretical Study ◽  
Animal Experiments ◽  
Nutrient Status ◽  
Nutritional Therapy ◽  
Review Of The Literature ◽  
Global Concern ◽  
Coronavirus Infection ◽  
Spread Of Infection ◽  
Development Methods ◽  
Positive Effect

Objective: In this review, we highlight the importance of an optimal nutrient status to strengthen the immune system during the COVID-19 crisis, focusing on the most relevant constituents that reduce inflammation and Provide a holistic perspective nutritional therapy the new coronavirus (covid-19) to assist researchers and improving areas for future response plans to deal with these diseases, and to provide a summary of the nutrients that help stop their development. Methods: This is a theoretical study conducted through a comprehensive review of the literature and research in the research engines (PubMed), (Read) and (ELSEVIER) and other new studies published in Chinese; we obtained information nutritional treatment who contributed to increasing the immunity of patients, due to the lack of treatment for this disease. Results: Until now no effective drug for the treatment of new coronavirus, pneumonia (covid-19) has been found. The development of vaccines is still in animal experiments. Recommendations and measures to control the spread of infection and nutritional therapy are still the only way to prevent the spread of covid-19 virus. Because, People relied only on treatments that were effective on previous viruses, for example those that have been used during the SARS and MERS epidemics. Discussion: The Covid-19 virus remains a global concern and more research is needed to control it. In addition, people need to know the nutrition ingredients that have a positive effect on increasing the immunity of the human body.

scholarly journals Mapping Buildings’ Energy-Related Features at Urban Level toward Energy Planning

Buildings ◽  
2021 ◽  
Vol 11 (8) ◽  
pp. 322
Author(s):  
Simone Ferrari ◽  
Federica Zagarella ◽  
Paola Caputo ◽  
Giuliano Dall’O’
Keyword(s):  
Energy Demand ◽  
National Level ◽  
Energy Planning ◽  
Urban Context ◽  
Existing Building ◽  
Urban Buildings ◽  
Usage Patterns ◽  
Urban Level ◽  
The City ◽  
Insight Into

To boost energy efficiency in the building sector at urban and district scales, the use of a Geographic Information System (GIS) for data collection and energy spatial analysis is relevant. As highlighted in many studies on this topic reported in literature, the correlation among available databases is complex due to the different levels of information. As the first part of a wide research aimed at estimating the energy demand of urban buildings, we present in this article a focus on the details of the GIS-based procedure developed to assess the main energy-related features of existing building stocks. The procedure is based on the elaboration of data from the Italian Topographic Databases, under provision at the national level according to the INSPIRE European Directive and the national General Census of Population and Houses. It enables one to calculate and map the urban built volume characterized by mostly diffuse use categories in an urban context (residential and offices), to which different equipment and building usage patterns can be associated, and by construction periods, featuring different technological solutions. The method has been applied to the city of Milan (Italy). An insight into the outcomes from the overall method of the wider research is also reported.

scholarly journals Agent based modelling and energy planning – Utilization of MATSim for transport energy demand modelling

Energy ◽  
2015 ◽  
Vol 92 ◽  
pp. 466-475 ◽  
Author(s):  
T. Novosel ◽  
L. Perković ◽  
M. Ban ◽  
H. Keko ◽  
T. Pukšec ◽  
...  
Keyword(s):  
Energy Demand ◽  
Energy Planning ◽  
Agent Based ◽  
Agent Based Modelling ◽  
Demand Modelling

Energy Planning of a Hydrogen - SAPS System Using Renewable Sources for Karpathos Island, Greece

2019 ◽  
pp. 724-728
Author(s):  
G. P. Giatrakos ◽  
P. G. Mouchtaropoulos ◽  
G. D. Naxakis ◽  
T. D. Tsoutsos
Keyword(s):  
Energy Planning ◽  
Renewable Sources

scholarly journals A new clustering and visualization method to evaluate urban energy planning scenarios

2018 ◽  
Author(s):  
Sara Torabi Moghadam ◽  
Silvia Coccolo ◽  
Guglielmina Mutani ◽  
Patrizia Lombardi ◽  
Jean Louis Scartezzini ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Urban Areas ◽  
Energy Demand ◽  
Planning Process ◽  
Energy Transition ◽  
Climatic Conditions ◽  
Energy Planning ◽  
Transition Strategies ◽  
Urban Energy ◽  
The City

The spatial visualization is a very useful tool to help decision-makers in the urban planning process to create future energy transition strategies, implementing energy efficiency and renewable energy technologies in the context of sustainable cities. Statistical methods are often used to understand the driving parameters of energy consumption but rarely used to evaluate future urban renovation scenarios. Simulating whole cities using energy demand softwares can be very extensive in terms of computer resources and data collection. A new methodology, using city archetypes is proposed, here, to simulate the energy consumption of urban areas including urban energy planning scenarios. The objective of this paper is to present an innovative solution for the computation and visualization of energy saving at the city scale.The energy demand of cities, as well as the micro-climatic conditions, are calculated by using a simplified 3D model designed as function of the city urban geometrical and physical characteristics. Data are extracted from a GIS database that was used in a previous study. In this paper, we showed how the number of buildings to be simulated can be drastically reduced without affecting the accuracy of the results. This model is then used to evaluate the influence of two set of renovation solutions. The energy consumption are then integrated back in the GIS to identify the areas in the city where refurbishment works are needed more rapidly. The city of Settimo Torinese (Italy) is used as a demonstrator for the proposed methodology, which can be applied to all cities worldwide with limited amount of information.

scholarly journals Urban energy performance calculation based on EPBD standards. GIS4ENER tool

2020 ◽  
Author(s):  
Gema Hernandez-Moral ◽  
◽  
Víctor Iván Serna-Gonzalez ◽  
Francisco Javier Miguel Herrero ◽  
César Valmaseda-Tranque
Keyword(s):  
Energy Demand ◽  
Planning Process ◽  
Energy Performance ◽  
Local Scale ◽  
Decision Makers ◽  
Energy Planning ◽  
Strong Impact ◽  
Building Stock ◽  
Urban Energy ◽  
Performance Calculation

Climate change will have a strong impact on urban settings, which will also represent one of the major challenges (world’s urban population is expected to double by 2050, EU buildings consume 40% final energy and generate 36% CO2 emissions). A plethora of initiatives address this challenge by stressing the underlying necessity of thinking globally but acting locally. This entails the inclusion of a varied set of decision-makers acting at different scales and needing robust, comprehensive and comparable information that can support them in their energy planning process. To this end, this paper presents the GIS4ENER tool to support energy planners at different scales by proposing a bottom-up approach towards the calculation of energy demand and consumption at local scale that can be aggregated to support other decision-making scales. It is based on three main pillars: the exploitation of publicly available data (such as Open Street Maps, Building Stock Observatory or TABULA), the implementation of standardised methods to calculate energy (in particular the ISO52000 family) and the use of Geographic Information Systems to represent and facilitate the understanding of results, and their aggregation. The paper presents the context, main differences with other approaches and results of the tool in Osimo (IT).

scholarly journals Future energy scenarios of household in Bhaktapur District

2015 ◽  
Vol 3 ◽  
pp. 36-43
Author(s):  
Yogesh Bajracharya
Keyword(s):  
Total Energy ◽  
Urban Area ◽  
Rural Area ◽  
Energy Demand ◽  
Planning System ◽  
Energy Planning ◽  
District Energy ◽  
Ghg Reduction ◽  
Co2 Equivalent ◽  
Business As Usual

Energy plays a pervasive and critically important role in economic and social development. So, energy planning is important area of study. For Bhaktapur district energy plan, the survey was done by using the questionnaire. Total of 91 samples from rural area and 112 samples from urban area were taken to prepare primary database. The total energy demand was 952 TJ in rural area and 458 TJ in urban area in 2013. LEAP (Long-Range Energy Alternative Planning System) software was used for energy planning. Five scenarios, Business as Usual (BAU), Reference (REF), Accelerated Growth Rate (ACC), and Sustainable Energy for All (SE4ALL) in REF and ACC case scenarios were developed. Total energy demand in 2030 will be 2,748 TJ for BAU, 3,799 TJ for REF and 6,203 TJ for ACC case whereas total demand limits from 766 TJ and 1,241 TJ in SE4ALL scenario in REF and ACC case respectively. Again the total energy demand for 2045 will be 4,945 TJ, 9,104 TJ and 22,592 TJ for BAU, REF and ACC case respectively. Total energy demand for SE4ALL scenario will be 1,807 TJ and 4,381 TJ for REF and ACC case respectively. The GHG reduction up to 2045 by SE4ALL approach is 1.79 million metric tons of CO2 equivalent in REF and 3.54 million metric tons of CO2 equivalent in ACC Scenario.

Optimal Operational Planning of Cogeneration Systems With Microturbine and Desiccant Air-Conditioning Units

2004 ◽  
Author(s):  
Satoshi Gamou ◽  
Koichi Ito ◽  
Ryohei Yokoyama
Keyword(s):  
Energy Flow ◽  
Energy Demand ◽  
Air Conditioning ◽  
Optimization Problem ◽  
Energy Charge ◽  
Ambient Air ◽  
Operational Planning ◽  
Optimization Approach ◽  
Analysis Method ◽  
Air Humidity

Economic and energy-saving characteristics of cogeneration systems with microturbine and desiccant air-conditioning units are investigated on system operational planning. An optimization approach is adopted to rationally evaluate these characteristics. In this approach, on/off and rated/part load status of operation of equipment and energy flow rates are determined so as to minimize the hourly energy charge subject to satisfaction of energy demand requirements. In this optimization problem, performance characteristics of the microturbine and desiccant air-conditioning units are modeled in consideration of the influence due to ambient air temperature. Moreover, the influence due to ambient air humidity is also considered in the desiccant air-conditioning unit using the psychrometric diagram. The implementation of the numerical analysis method, discussed in this paper, to two cogeneration systems, clearly shows economic and operational benefits of using desiccant air-conditioning.

scholarly journals Between Abundance and Constraints: The Natural Resource Equation of Asia’s Diverging, Higher-Income City Models

Land ◽  
2020 ◽  
Vol 9 (11) ◽  
pp. 426
Author(s):  
Philipp Rode ◽  
Alexandra Gomes ◽  
Muhammad Adeel ◽  
Fizzah Sajjad ◽  
Andreas Koch ◽  
...  
Keyword(s):  
Natural Resource ◽  
Resource Use ◽  
Urban Form ◽  
Energy Demand ◽  
Quantitative Methods ◽  
Urban Spatial Structure ◽  
Energy Prices ◽  
Planning Decisions ◽  
Common Resource ◽  
Building Cooling

This paper investigates how natural resource conditions impact the physical development of cities and how, once built, the urban spatial structure leads to different patterns of resource use. The point of departure for this research is the common “resource urbanisms” assumption that cities are directly affected by the availability and costs of natural resources, and that in turn, different urbanisms result in substantial differences in resource use and consequent impact on the environment. Considering extreme and divergent, higher-income urban models of Kuwait, Abu Dhabi, Hong Kong and Singapore, the paper focusses on two resources, land and energy, and the case of building cooling and transport energy demand. The research uses a mixed methods approach which includes qualitative methods such as expert interviews, analysis of planning documents and historic planning decisions, alongside quantitative methods such as remote sensing, GIS and data analysis and energy modelling. The paper suggests that land availability is a major driver of urban form while energy prices may play a secondary role. It also finds that urban form-induced energy efficiencies for transport and cooling energy diverge in the four cities by a factor of five and two, respectively.

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