Implementation of Thermal and Energy Improvements in Domestic Refrigeration

2015 ◽  
pp. 641-659
Author(s):  
Juan Manuel Belman ◽  
Armando Gallegos
Keyword(s):  
Energy Consumption ◽  
Modeling And Simulation ◽  
Case Studies ◽  
Experimental Analysis ◽  
Thermal Profile ◽  
Cooling Performance ◽  
Thermal Insulator ◽  
Energy Evaluation ◽  
Thermal Features ◽  
New Material

This chapter concisely discusses two case studies experiences on domestic refrigeration. One of the cases involves the theoretical and experimental analysis of the thermal profile in the compartments of a refrigerator, all this under the modeling and simulation through CFD, thus obtaining interesting results in terms of energy consumption. The second case is focus on the thermal and energy evaluation of new material proposed as thermal insulator, which was developed in a conventional way in the laboratory and presents convenient thermal features. Therefore, the guidelines for this chapter are aimed at finding mechanism that streamline the domestic refrigeration systems, without modifying its cooling performance.

scholarly journals Assessing the Value of Demand Response in Microgrids

2021 ◽  
Vol 13 (11) ◽  
pp. 5848
Author(s):  
Isaías Gomes ◽  
Rui Melicio ◽  
Victor M. F. Mendes
Keyword(s):  
Decision Making ◽  
Energy Consumption ◽  
Energy Storage ◽  
Case Studies ◽  
Demand Response ◽  
Storage Systems ◽  
Computer Application ◽  
Market Prices ◽  
Proper Formulation ◽  
Operation Case

This paper presents a computer application to assist in decisions about sustainability enhancement due to the effect of shifting demand from less favorable periods to periods that are more convenient for the operation of a microgrid. Specifically, assessing how the decisions affect the economic participation of the aggregating agent of the microgrid bidding in an electricity day-ahead market. The aggregating agent must manage microturbines, wind systems, photovoltaic systems, energy storage systems, and loads, facing load uncertainty and further uncertainties due to the use of renewable sources of energy and participation in the day-ahead market. These uncertainties cannot be removed from the decision making, and, therefore, require proper formulation, and the proposed approach customizes a stochastic programming problem for this operation. Case studies show that under these uncertainties and the shifting of demand to convenient periods, there are opportunities to make decisions that lead to significant enhancements of the expected profit. These enhancements are due to better bidding in the day-ahead market and shifting energy consumption in periods of favorable market prices for exporting energy. Through the case studies it is concluded that the proposed approach is useful for the operation of a microgrid.

scholarly journals Comparative Analysis of Energy Consumption between Green Building Certified and Non-Certified Buildings in Korea

Energies ◽  
2020 ◽  
Vol 13 (5) ◽  
pp. 1049 ◽  
Author(s):  
Sangtae No ◽  
Chungyeon Won
Keyword(s):  
Energy Consumption ◽  
Energy Use ◽  
Residential Buildings ◽  
Green Building ◽  
Seed Certification ◽  
Portal Site ◽  
Energy Evaluation ◽  
Public Data ◽  
The Usa ◽  
Energy Use Intensity

Although interest in and the importance of green building certification have increased, it is difficult to determine how much less energy the buildings actually consume after obtaining sustainability related certification, such as LEED in the USA, and G-SEED in Korea. Focusing on building energy evaluation, we compared and analyzed the energy evaluation items of LEED and G-SEED. In addition, from the Korean public data portal site, this study investigated the annual site energy consumption (electricity and gas) per floor area of non-residential buildings that obtained G-SEED certification in Korea. The energy consumption of non-certified general buildings was compared with the energy consumption of certified buildings. As a result of examining 84 samples of this study, non-residential buildings with G-SEED certification showed energy use intensity that was at least (35.5 to 48.9)% lower than that of uncertified buildings.

Modelling vehicle emissions using the TEMIS program: Part 2: Case studies

1998 ◽  
Vol 212 (3) ◽  
pp. 205-212 ◽  
Author(s):  
W Saleh ◽  
J D Nelson
Keyword(s):  
Energy Consumption ◽  
Case Studies ◽  
Alternative Fuels ◽  
Local Level ◽  
Transport Sector ◽  
Air Emissions ◽  
Global Level ◽  
Ozone Layer Depletion ◽  
Technical Advances ◽  
Fuel Consumption And Emissions

Many challenges are associated with the ever increasing level of energy consumption and the damage to the environment caused by the pollutants from all sectors, On the local level the problem is associated with matters such as noise and air pollution, while on the global level the problems are associated with acid rain, ozone layer depletion and the greenhouse effect (global warming). The transport sector is a major contributor in this respect. The use of appropriate decision-making tools to assist in the assessment of alternative transport policies is required urgently. One such tool is the TEMIS program which was described in Part 1 of this investigation, where the methodology for the enhancement of TEMIS was reported. The enhanced version of TEMIS has subsequently been used to model the effects of different transport scenarios in order to improve future fuel economy and the adverse effects of air emissions as well as the greenhouse gases. In the present paper, three main case studies have been considered to test the effect of different scenarios (in terms of alternative fuels and technical advances) on energy consumption and emissions: firstly, the switch to alternative fuels, through investigating the effects of switching from petrol to diesel, secondly, the effects of switching from diesel to bio-diesel (for buses) and, finally, the effects of technical advances (three-way catalytic converters) and the effects on fuel consumption and emissions are considered.

Water and energy consumption in schools: case studies in Brazil

2019 ◽  
Vol 22 (5) ◽  
pp. 4225-4249 ◽  
Author(s):  
Lucas Niehuns Antunes ◽  
Enedir Ghisi
Keyword(s):  
Energy Consumption ◽  
Case Studies

scholarly journals Making the Most of Parameter Estimation: Terpolymerization Troubleshooting Tips

Processes ◽  
2019 ◽  
Vol 7 (7) ◽  
pp. 444 ◽  
Author(s):  
Scott ◽  
Gabriel ◽  
Dubé ◽  
Penlidis
Keyword(s):  
Parameter Estimation ◽  
Case Studies ◽  
Ternary Systems ◽  
Reactivity Ratio ◽  
Prediction Performance ◽  
Reactivity Ratios ◽  
Ratio Estimation ◽  
New Material ◽  
Future Work ◽  
Good Agreement

Multi-component polymers can provide many advantages over their homopolymer counterparts. Terpolymers are formed from the combination of three unique monomers, thus creating a new material that will exhibit desirable properties based on all three of the original comonomers. To ensure that all three comonomers are incorporated (and to understand and/or predict the degree of incorporation of each comonomer), accurate reactivity ratios are vital. In this study, five terpolymerization studies from the literature are revisited and the ‘ternary’ reactivity ratios are re-estimated. Some recent studies have shown that binary reactivity ratios (that is, from the related copolymer systems) do not always apply to ternary systems. In other reports, binary reactivity ratios are in good agreement with terpolymer data. This investigation allows for the comparison between previously determined binary reactivity ratios and newly estimated ‘ternary’ reactivity ratios for several systems. In some of the case studies presented herein, reactivity ratio estimation directly from terpolymerization data is limited by composition restrictions or ill-conditioned systems. In other cases, we observe similar or improved prediction performance (for ternary systems) when ‘ternary’ reactivity ratios are estimated directly from terpolymerization data (compared to the traditionally used binary reactivity ratios). In order to demonstrate the advantages and challenges associated with ‘ternary’ reactivity ratio estimation, five case studies are presented (with examples and counter-examples) and troubleshooting suggestions are provided to inform future work.

Evaluation and Indexing of Process Plans Based on Electrical Demand and Energy Consumption

2017 ◽  
Vol 7 (3) ◽  
pp. 1-19 ◽  
Author(s):  
Omar Ahmed Al-Shebeeb ◽  
Sivakumar Rangaswamy ◽  
Bhaskaran Gopalakrishan ◽  
Dayakar G Devaru
Keyword(s):  
Energy Consumption ◽  
Machining Parameters ◽  
Machining Processes ◽  
Energy Evaluation ◽  
Process Plans ◽  
Plan Selection ◽  
Electrical Demand ◽  
The Cost ◽  
Machining Operations ◽  
Process Plan Selection

This paper presents the concept of including the energy cost as a part of the total cost of manufacturing using machining processes in the development of computer aided process plans. The research objective is to index and evaluate the process plans based upon the energy consumption of the machining operations while considering machining cost and to rank or index the process plans based on energy consumption for purposes of decision support in process plan selection. The paper also discusses energy evaluation of process plans and their subsequent effectiveness in terms of overall cost associated with the utilization of effective machining parameters. The MPSEL system, which is an expert system based application, was used to develop alternative process plans. The MACH program, which is a spreadsheet based system, was used to determine the cost associated with machining. The developed process plans are compared based upon the cost associated with utilized energy and machining.

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