scholarly journals Analysis of Energy System in Norway with Focus on Energy Consumption Prediction

2017 ◽  
Vol 9 (1) ◽  
pp. 5-14 ◽  
Author(s):  
Maryam Hamlehdar ◽  
Alireza Aslani
Keyword(s):  
Energy Consumption ◽  
Energy Demand ◽  
Fossil Fuels ◽  
Renewable Energy Sources ◽  
Electricity Consumption ◽  
Energy System ◽  
High Energy ◽  
Regression Result ◽  
Industry Growth ◽  
The Status

Abstract Today, the fossil fuels have dominant share of energy supply in order to respond to the high energy demand in the world. Norway is one of the countries with rich sources of fossil fuels and renewable energy sources. The current work is to investigate on the status of energy demand in Norway. First, energy and electricity consumption in various sectors, including industrial, residential are calculated. Then, energy demand in Norway is forecasted by using available tools. After that, the relationship between energy consumption in Norway with Basic economics parameters such as GDP, population and industry growth rate has determined by using linear regression model. Finally, the regression result shows a low correlation between variables.

Decision support for evaluating energy demand in vinification processes using fuzzy sets theory

2006 ◽  
Vol 17 (4) ◽  
pp. 4-18 ◽  
Author(s):  
N Musee ◽  
L Lorenzen ◽  
C Aldrich
Keyword(s):  
Fuzzy Logic ◽  
Energy Consumption ◽  
Energy Demand ◽  
Renewable Energy Sources ◽  
Current Trend ◽  
High Energy ◽  
Production Costs ◽  
Wine Industry ◽  
Process Industries ◽  
Industrial Growth

The current trend associated with high energy demand, depletion of energy reserves and low potential of renewable energy sources linked with strong industrial growth, is increasingly becoming unsustainable. As a result, production costs have increased considerably in the process industries, mainly owing to skewed energy demand and supply realities. A feasible strategy for meeting these challenges is to reduce energy consumption per unit throughput. However, to obtain a workable solution, decision makers may have to deal with energy management variables that are ambiguous, which makes solving the energy minimization problem with conventional numerical approaches very difficult. In this paper, we consider an alternative approach based on fuzzy logic to qualitatively evaluate the energy demand associated with an industrial cooling process. The model was formulated based on Mamdani fuzzy logic inferencing and implemented in MATLAB 6.5 via the Fuzzy Logic toolbox. The energy demands pertaining to specific variables were independently estimated, followed by an estimate of the overall energy consumption. The procedure is demonstrated via a case study of cooling at the maceration stage of a vinification process in the wine industry.

scholarly journals Investigation on a Bio-Composite Material as Acoustic Absorber and Thermal Insulation

Energies ◽  
2020 ◽  
Vol 13 (14) ◽  
pp. 3699
Author(s):  
Domenico Curto ◽  
Andrea Guercio ◽  
Vincenzo Franzitta
Keyword(s):  
Energy Consumption ◽  
Thermal Insulation ◽  
Energy Demand ◽  
Fossil Fuels ◽  
High Energy ◽  
Industrial Applications ◽  
Embodied Energy ◽  
Natural Material ◽  
Indoor Environments ◽  
Residential Sector

In order to limit the anthropic emissions of CO2, research is currently investigating new materials for the building sector. The main purpose is the reduction in the embodied energy consumption, especially in the residential sector, and consequently the limitation of the direct and indirect utilization of fossil fuels, for the indoor heating, cooling, and ventilation services. Indeed, the residential sector is affected by a high energy demand, thus the choice of improved materials is fundamental to improve the sustainability. All phases: construction, building life, and dismantling are impacting in terms of resource and energy consumption, both associated with the emissions of pollutants in the atmosphere. The aim of this experimental research is to study the thermal insulation and the acoustic absorption of a material composed by natural lime, water, and shives from sativa hemp, a variety of hemp usable for industrial applications. In order to assess the main characteristics of this material, some specimens have been made according to required shapes and sizes to test them in specific machines. The results obtained from the tests are compared with the values of similar lime-based materials already available on the market. The comparison shows how, in certain aspects, the lime and hemp shives materials represent a concrete alternative to conventional materials. This completely natural material would like to achieve thermal and acoustic comfort in indoor environments.

scholarly journals Analysis and Modeling of Energy Demand System in Iran’s Buildings and the Industry

2019 ◽  
Vol 9 (1) ◽  
pp. 53-62
Author(s):  
Seyed Morteza Emami ◽  
Mehdi Ravanshadnia ◽  
Mahmood Rahimi
Keyword(s):  
Energy Consumption ◽  
Energy Demand ◽  
Residential Buildings ◽  
Energy System ◽  
Future Perspective ◽  
Energy Planning ◽  
Reference Scenario ◽  
The Future ◽  
The Status ◽  
Increasing Demand

Abstract In this study, the demand of the Iran’s energy carriers is analyzed and modeled for the country’s largest consumer, buildings and related industries, in the status quo and future perspective. To this objective, the building sector is divided into two sections: household section (residential buildings) and services (business-office and service buildings) according to the ISIC classification that each of these sections is divided into sub-sections. In addition, building-related industries include some non-metallic minerals and basic metals industries. Regarding to scenario-based energy planning helps to increase the understanding of different probabilities in the future. The future outlook for the system is modeled with the horizon of 2035 with the LEAP modeling tool in the “reference” scenario, indicating the sustainability of the existing energy system in the future. The results of modeling indicate an increasing demand for energy as expected that energy demand carriers in buildings and related industries from 559.8 million barrels in 2014 reach up to 1040.6 million barrels of crude oil equivalents in 2035. Therefore, in order to reduce energy consumption, solutions are modeled and analyzed according to the scenarios for “Improvement of energy consumption in buildings and related industries”, then the greenhouse gas emissions and their environmental effects are investigated.

scholarly journals Enhanced Evolutionary Sizing Algorithms for Optimal Sizing of a Stand-Alone PV-WT-Battery Hybrid System

2019 ◽  
Vol 9 (23) ◽  
pp. 5197
Author(s):  
Asif Khan ◽  
Turki Alghamdi ◽  
Zahoor Khan ◽  
Aisha Fatima ◽  
Samia Abid ◽  
...  
Keyword(s):  
Hybrid System ◽  
Energy Demand ◽  
Fossil Fuels ◽  
Heuristic Algorithms ◽  
Renewable Energy Sources ◽  
Storage System ◽  
High Energy ◽  
Total Annual Cost ◽  
Hybrid Schemes ◽  
Optimal Sizing

An increase in the world’s population results in high energy demand, which is mostly fulfilled by consuming fossil fuels (FFs). By nature, FFs are scarce, depleted, and non-eco-friendly. Renewable energy sources (RESs) photovoltaics (PVs) and wind turbines (WTs) are emerging alternatives to the FFs. The integration of an energy storage system with these sources provides promising and economical results to satisfy the user’s load in a stand-alone environment. Due to the intermittent nature of RESs, their optimal sizing is a vital challenge when considering cost and reliability parameters. In this paper, three meta-heuristic algorithms: teaching-learning based optimization (TLBO), enhanced differential evolution (EDE), and the salp swarm algorithm (SSA), along with two hybrid schemes (TLBO + EDE and TLBO + SSA) called enhanced evolutionary sizing algorithms (EESAs) are proposed for solving the unit sizing problem of hybrid RESs in a stand-alone environment. The objective of this work is to minimize the user’s total annual cost (TAC). The reliability is considered via the maximum allowable loss of power supply probability ( L P S P m a x ) concept. The simulation results reveal that EESAs provide better results in terms of TAC minimization as compared to other algorithms at four L P S P m a x values of 0%, 0.5%, 1%, and 3%, respectively, for a PV-WT-battery hybrid system. Further, the PV-WT-battery hybrid system is found as the most economical scenario when it is compared to PV-battery and WT-battery systems.

scholarly journals Reducing High Energy Demand Associated with Air-Conditioning Needs in Saudi Arabia

Energies ◽  
2018 ◽  
Vol 12 (1) ◽  
pp. 87 ◽  
Author(s):  
Jubran Alshahrani ◽  
Peter Boait
Keyword(s):  
Saudi Arabia ◽  
Energy Consumption ◽  
Energy Demand ◽  
Air Conditioning ◽  
Residential Buildings ◽  
Electricity Consumption ◽  
High Energy ◽  
Residential Sector ◽  
Smart Control ◽  
Ac Systems

Electricity consumption in the Kingdom of Saudi Arabia (KSA) has grown at an annual rate of about 7% as a result of population and economic growth. The consumption of the residential sector accounts for over 50% of the total energy generation. Moreover, the energy consumption of air-conditioning (AC) systems has become 70% of residential buildings’ total electricity consumption in the summer months, leading to a high peak electricity demand. This study investigates solutions that will tackle the problem of high energy demand associated with KSA’s air-conditioning needs in residential buildings. To reduce the AC energy consumption in the residential sector, we propose the use of smart control in the thermostat settings. Smart control can be utilized by (i) scheduling and advance control of the operation of AC systems and (ii) remotely setting the thermostats appropriately by the utilities. In this study, we model typical residential buildings and, crucially, occupancy behavior based on behavioral data obtained through a survey. The potential impacts in terms of achievable electricity savings of different AC operation modes for residential houses of Riyadh city are presented. The results from our computer simulations show that the solutions intended to reduce energy consumption effectively, particularly in the advance mode of operation, resulted in a 30% to 40% increase in total annual energy savings.

scholarly journals Motion Sensor Application on Building Lighting Installation for Energy Saving and Carbon Reduction Joint Crediting Mechanism

2018 ◽  
Author(s):  
Indra Riyanto ◽  
Lestari Margatama ◽  
Hakim Hakim ◽  
Martini Martini ◽  
Dicky Edwin Hindarto
Keyword(s):  
Energy Efficiency ◽  
Energy Demand ◽  
Fossil Fuels ◽  
Electricity Consumption ◽  
Developed Countries ◽  
High Energy ◽  
Motion Sensor ◽  
Motion Sensors ◽  
Carbon Reduction ◽  
Electricity Bill

High electricity demand for consumption at current supply level in Indonesia led to the rising cost of electricity bills. This factor is compounded by the fact that many electric generators in Indonesia still use fossil fuels, which contributes to the high basic generation cost. UBL is one of the universities that aim to be a green campus. Our research explores the possibility of installing motion sensor to contribute on the energy efficiency. Although mostly common in developed countries, the use of motion sensor for energy efficiency is still rare, especially in Indonesia. despite rising cost and supply shortages, Indonesian buildings are still of high energy consumption. our experiment shows that simple installation of commercially available motion sensors can contribute to reduce the electricity bill from the increase of energy efficiency. One of the efforts to lower energy demand in consumer side is to use the electricity efficiently, such as turning off lights in a room when it's not in use. This method can be simply done by turning the light switches for office and classrooms, but difficult to do in public spaces such as toilets and corridors. Our experiment shows that simple installation of commercially available motion sensors can contribute to reduce the electricity bill from the increase of energy efficiency. Automatic light switches experimentally installed in sample toilet room prove that electricity consumption from the lamps can contribute to the reduction of total weekly energy that translates into Green House Gas emission reduction.

scholarly journals Motion Sensor Application on Building Lighting Installation for Energy Saving and Carbon Reduction Joint Crediting Mechanism

2018 ◽  
Vol 1 (3) ◽  
pp. 23 ◽  
Author(s):  
Indra Riyanto ◽  
Lestari Margatama ◽  
H. Hakim ◽  
Martini ◽  
Dicky Hindarto
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Energy Demand ◽  
Fossil Fuels ◽  
Greenhouse Gas Emission ◽  
Developed Countries ◽  
High Energy ◽  
Motion Sensors ◽  
Electricity Bill ◽  
High Energy Consumption

Although common in developed countries such as Japan and Taiwan, the use of lamps coupled with motion sensors are still uncommon and even rare in Indonesia. Our experiment aims to show that simple installation of commercially available motion sensors can contribute to reduce the electricity bill from the increase of energy efficiency, abundance in availability of energy being the main factor in Indonesian high energy consumption habits. High electricity demand for consumption at current supply level in Indonesia led to the rising cost of electricity bills. This factor is compounded by the fact that many electric generators in Indonesia still use fossil fuels, which contributes to the high basic generation cost. UBL is one of the universities that aim to be a green campus. Our research explores the possibility of installing motion sensors to contribute to the energy efficiency. Although mostly common in developed countries, the use of motion sensors for energy efficiency is still rare, especially in Indonesia. Despite rising cost and supply shortages, Indonesian buildings are still of high energy consumption. Our experiment shows that simple installation of commercially available motion sensors can contribute to reduce the electricity bill from the increase of energy efficiency. One of the efforts to lower energy demand on the consumer side is to use the electricity efficiently, such as turning off lights in a room when it is not in use. This method can be simply done by turning the light switches for office and classrooms, but difficult to do in public spaces such as toilets and corridors. Automatic light switches experimentally installed in sample toilet rooms prove that electricity consumption from the lamps can contribute to the reduction of total weekly energy that translates into Greenhouse Gas emission reduction.

scholarly journals Future Energy Demand Developments and Demand Side Flexibility in a Decarbonized Centralized Energy System

2021 ◽  
pp. 91-113
Author(s):  
Andrea Herbst ◽  
Anna-Lena Klingler ◽  
Stephanie Heitel ◽  
Pia Manz ◽  
Tobias Fleiter ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Energy Demand ◽  
Fossil Fuels ◽  
Energy System ◽  
Demand Side ◽  
Energy Carriers ◽  
Mitigation Options ◽  
Climate Targets ◽  
Final Energy Consumption ◽  
Different Characteristics

AbstractEuropean final energy consumption mainly stems from five sectors: transport, households, industry, residential, and agriculture using fossil fuels as dominant energy carriers. In order to achieve the climate targets, emissions in the demand sectors must be drastically reduced. Due to different characteristics and challenges each sector needs its own strategy how to achieve such decarbonization until 2050. In the following chapter, the impacts of an ambitious mitigation scenario on future energy demand and CO2 emissions for transport, industry, residential, and tertiary are analyzed discussing sector specific decarbonization strategies and mitigation options. Implications of such strategies for demand-side flexibility and its future need are analyzed.

Smart Cities and Smart Regulation

2018 ◽  
Author(s):  
Anita Rønne
Keyword(s):  
Climate Change ◽  
Urban Areas ◽  
Fossil Fuels ◽  
System Analysis ◽  
New Technologies ◽  
Smart Cities ◽  
Renewable Energy Sources ◽  
Energy System ◽  
Political Agenda ◽  
Smart Regulation

Increasing focus on sustainable societies and ‘smart cities’ due to emphasis on mitigation of climate change is simultaneous with ‘smart regulation’ reaching the forefront of the political agenda. Consequently, the energy sector and its regulation are undergoing significant innovation and change. Energy innovations include transition from fossil fuels to more renewable energy sources and application of new computer technology, interactively matching production with consumer demand. Smart cities are growing and projects are being initiated for development of urban areas and energy systems. Analysis from ‘Smart Cities Accelerator’, developed under the EU Interreg funding programme that includes Climate-KIC,——provides background for the focus on a smart energy system. Analysis ensures the energy supply systems support the integration of renewables with the need for new technologies and investments. ‘Smart’ is trendy, but when becoming ‘smart’ leads to motivation that is an important step towards mitigating climate change.

scholarly journals Techno-Economic Analysis of a Novel Hydrogen-Based Hybrid Renewable Energy System for Both Grid-Tied and Off-Grid Power Supply in Japan: The Case of Fukushima Prefecture

2020 ◽  
Vol 10 (12) ◽  
pp. 4061 ◽  
Author(s):  
Naoto Takatsu ◽  
Hooman Farzaneh
Keyword(s):  
Renewable Energy ◽  
Energy Demand ◽  
Renewable Energy Sources ◽  
Economic Assessment ◽  
Energy System ◽  
Modeling Framework ◽  
Integrated Simulation ◽  
Hybrid Renewable Energy System ◽  
Renewable Energy System ◽  
Hybrid Renewable Energy

After the Great East Japan Earthquake, energy security and vulnerability have become critical issues facing the Japanese energy system. The integration of renewable energy sources to meet specific regional energy demand is a promising scenario to overcome these challenges. To this aim, this paper proposes a novel hydrogen-based hybrid renewable energy system (HRES), in which hydrogen fuel can be produced using both the methods of solar electrolysis and supercritical water gasification (SCWG) of biomass feedstock. The produced hydrogen is considered to function as an energy storage medium by storing renewable energy until the fuel cell converts it to electricity. The proposed HRES is used to meet the electricity demand load requirements for a typical household in a selected residential area located in Shinchi-machi in Fukuoka prefecture, Japan. The techno-economic assessment of deploying the proposed systems was conducted, using an integrated simulation-optimization modeling framework, considering two scenarios: (1) minimization of the total cost of the system in an off-grid mode and (2) maximization of the total profit obtained from using renewable electricity and selling surplus solar electricity to the grid, considering the feed-in-tariff (FiT) scheme in a grid-tied mode. As indicated by the model results, the proposed HRES can generate about 47.3 MWh of electricity in all scenarios, which is needed to meet the external load requirement in the selected study area. The levelized cost of energy (LCOE) of the system in scenarios 1 and 2 was estimated at 55.92 JPY/kWh and 56.47 JPY/kWh, respectively.

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