Do Star Ratings Matter?

2020 ◽  
Vol 11 (4) ◽  
pp. 40-55
Author(s):  
Gauri Joshi ◽  
Vasundhara Sen ◽  
Monica Kunte
Keyword(s):  
Energy Consumption ◽  
Family Involvement ◽  
Energy Efficient ◽  
Qualitative Approach ◽  
Environmental Concerns ◽  
Purchase Decision ◽  
Purchase Decisions ◽  
Energy Usage ◽  
Factors Influencing

Increasing environmental concerns have resulted in consumers indulging in conserving energy by curtailing energy usage rather than switching to energy efficient practices. Energy efficient appliances (EEAs) offer the dual advantages of appliance usage with reduced energy consumption. Research suggests that use of such appliances, in residences is limited. This study was thus undertaken to understand individual resident's awareness towards EEAs and factors influencing their purchase. A qualitative approach consisting of 31 personal interviews were conducted with individuals from socio-economic categories A1, A2 and B1. While awareness of EEAs was present among respondents; benefits of using such appliances were neither widely known nor easily quantifiable. Purchase decisions were ruled by appliance price but did not deter adoption, the availability of appliances in desired aesthetics and family involvement in purchase decision. Higher penetration of such appliances can be ensured if consumers can estimate exact savings in monthly electricity bills due to EEAs at the time of purchase.

FACTORS INFLUENCING HOME BUYERS’ PURCHASE DECISIONS IN KLANG VALLEY, MALAYSIA

2020 ◽  
Vol 7 (2) ◽  
pp. 77
Author(s):  
JieSheng Mang ◽  
Rozlin Zainal ◽  
Indera Syahrul Mat Radzuan
Keyword(s):  
Purchase Decision ◽  
Purchase Decisions ◽  
Structure Space ◽  
Factors Influencing ◽  
Klang Valley ◽  
Housing Industry ◽  
House Structure ◽  
Research Studies

Focusing on Klang Valley, this research studies the outcome of house purchase factors in Malaysia. This research identifies the house purchase factors that affect home buyers’ purchase decisions. The researcher collected data using SurveyMonkey by using a questionnaire to elicit the opinions of Klang Valley residents on housing purchase factors and purchase decision. The factors were evaluated and studied to identify their influence on home buyers’ purchase decision. Findings show that home buyers’ purchase decision are influenced by house structure, space, finance, location, and neighbourhood factors. The findings have laid a foundation for the housing industry to improve.

scholarly journals Impact of Nocturnal Natural Ventilation On the Energy Consumption of Buildings

2017 ◽  
Vol 13 (2) ◽  
pp. 17-26
Author(s):  
Felicia Uciu ◽  
Tiberiu Catalina ◽  
Andreea Vartires ◽  
Iolanda Colda
Keyword(s):  
Energy Consumption ◽  
Energy Efficient ◽  
Natural Ventilation ◽  
Thermal Characteristics ◽  
Thermal Capacity ◽  
Climatic Parameters ◽  
Night Time ◽  
Time Step ◽  
Factors Influencing ◽  
Efficient Measures

Abstract The analysis presented in this paper is dealing with the correct and energy efficient measures of cooling buildings through nocturnal natural ventilation. Using this solution is proved in this article to be efficient and can reduce substantially the cooling demand. In order to establish the factors influencing the process of passively cooling a building (the ventilation volume, exterior temperature, thermal capacity of the building, possible duration of the ventilation), we have chosen different buildings, which we have placed them in different temperature zones of Romania. The study is based on multiple simulations realized with a time step of one hour, with the following variations: the climatic parameters, the thermal characteristics of the building, the air flow during night time, the proposed interior temperature. Since the study consisted of numerous simulations, in order to treat the results we have used statistical methods that cover the practical and possible situations, and proved the efficiency of nocturnal ventilation.

IMPACT OF RETROFITTING ENERGY-EFFICIENT DESIGN STRATEGIES ON ENERGY USE OF EXISTING COMMERCIAL BUILDINGS: COMPARATIVE STUDY OF LOW-IMPACT AND DEEP RETROFIT STRATEGIES

2017 ◽  
Vol 12 (4) ◽  
pp. 70-88 ◽  
Author(s):  
Ajla Aksamija
Keyword(s):  
Energy Consumption ◽  
Energy Efficient ◽  
Hvac Systems ◽  
Building Envelope ◽  
Energy Modeling ◽  
Office Buildings ◽  
Existing Buildings ◽  
Design Strategies ◽  
Energy Usage ◽  
Building Systems

This article discusses energy-efficient retrofitting design strategies for commercial office buildings, and examines their effect on energy consumption. The objective of the research was to study how to integrate passive design strategies and energy-efficient building systems to improve building performance, and reduce the energy consumption of existing buildings in three different climate types (cold, mixed and hot climates). First, properties of existing buildings were analyzed based on national CBECS database to determine typical characteristics of office buildings located in Chicago, Baltimore and Phoenix, including size, building envelope treatment and building systems. Then, fourteen different prototypes were developed, varying the building shape and orientation to represent different building stock, and energy modeling was conducted to establish energy usage baseline. Multiple design considerations were investigated based on extensive energy simulations and modeling, where low-impact and deep retrofits were considered. Low-impact strategies included improvements to the building envelope, lighting systems and optimization of HVAC systems operation (without upgrading heating and cooling equipment). Deep energy retrofits also included improvements to building envelope and lighting, and considered changes and improvements to HVAC systems (specifically, integration of radiant systems). Energy modeling was conducted for all prototypes, and results were obtained for the baseline (current energy usage), and energy usage considering low-impact design strategies and deep retrofits. A total of 126 energy models was developed, simulated and analyzed, providing a dataset that captured energy usage for investigated scenarios. The comparative analysis of simulation results was used to determine how specific techniques lead to energy savings in different climate types, as well as for buildings of various shapes and orientations.

Merchants Competing on E-Commerce Platforms

2022 ◽  
pp. 204-230
Author(s):  
Atilla Wohllebe
Keyword(s):  
Online Survey ◽  
Relevant Literature ◽  
Distribution Channel ◽  
Purchase Decision ◽  
Purchase Decisions ◽  
Delivery Time ◽  
Structured Interviews ◽  
Related Factors ◽  
Factors Influencing ◽  
Central Factors

The importance of marketplaces in e-commerce has increased. More and more merchants are trying to use e-commerce platforms as a distribution channel. With the increasing competition, merchants are faced with the challenge of continuing to sell their products to consumers through marketplaces at a profit. This is especially true if the consumer has already chosen a certain product and now only decides from which merchant to buy the product. This chapter therefore examines for different customer segments which merchant-related factors — also and in particular apart from the price — influence the purchase decision. After reviewing relevant literature, various factors are identified through structured interviews. An online survey is then used to simulate a total of 3,485 purchase decisions with different factor characteristics. In addition to the price, the ratings of a merchant and the delivery time are identified as central factors influencing the purchase decision.

scholarly journals Modeling and Simulation of a Building towards Energy Efficiency

2019 ◽  
Vol 8 (10) ◽  
pp. 1063-1073
Keyword(s):  
Renewable Energy ◽  
Energy Consumption ◽  
Energy Efficient ◽  
Energy Generation ◽  
Energy Performance ◽  
Energy Usage ◽  
Existing Building ◽  
Energy Efficient Buildings ◽  
Roof Area ◽  
Tool Building

Residential buildings are the significant energy consumer of the India which is about 24% of the total energy consumption. Energy efficient buildings are the ideal solution to reduce energy consumption in the building sector. The energy efficient buildings can be achieved by incorporating passive features or renewable energy systems or both. The current work aims to perform a retrofitting analysis of an existing building into an energy efficient building. For performing the energy analysis REVIT 2017 tool is used. Using the REVIT 2017 tool building model is developed, building information are loaded and energy analyses are performed. The building is analyzed as two cases. The first case is to estimate energy performance of the existing building. The second case is to incorporate passive features and renewable energy system to the building and evaluate the energy performance. Existing building Energy Usage Intensity (EUI) was 193 kWh/m2 /year. When passive features (Insulation, additional window glazing and efficient air conditioning systems) alone incorporated to the building the building EUI is reduced to 138 kWh/m2 /year. Along with Passive features Photovoltaic modules with different efficiencies 16%, 18% and 20% are considered for renewable energy generation. The energy generation for the different PV modules for three different roof area (40%, 60% and 70% of total roof area) is evaluated. The energy usage intensity varies from 11.4 from -150 kWh/m2 /year for the combination of different efficiency of PV module and the different % of roof area covered. The negative sign indicates the energy generation after the required energy usage. The payback period for only incorporating passive features is 6.3 years and while incorporating PV system with passive features is 9 years.

CoNNECT: Data Analytics for Energy Efficient Communities

2012 ◽  
Author(s):  
O. A. Omitaomu ◽  
B. L. Bhaduri ◽  
C. S. Maness ◽  
J. B. Kodysh ◽  
A. M. Noranzyk
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Energy Efficient ◽  
Data Analytics ◽  
Energy Use ◽  
Residential Buildings ◽  
Weather Data ◽  
Energy Usage ◽  
The Public ◽  
Utility Companies

Energy efficiency is the lowest cost option being promoted for achieving a sustainable energy policy. Thus, there have been some innovations to reduce residential and commercial energy usage. There have also been calls to the utility companies to give customers access to timely, useful, and actionable information about their energy use, in order to unleash additional innovations in homes and businesses. Hence, some web-based tools have been developed for the public to access and compare energy usage data. In order to advance on these efforts, we propose a data analytics framework called Citizen Engagement for Energy Efficient Communities (CoNNECT). On the one hand, CoNNECT will help households to understand (i) the patterns in their energy consumption over time and how those patterns correlate with weather data, (ii) how their monthly consumption compares to other households living in houses of similar size and age within the same geographic areas, and (iii) what other customers are doing to reduce their energy consumption. We hope that the availability of such data and analysis to the public will facilitate energy efficiency efforts in residential buildings. These capabilities formed the public portal of the CoNNECT framework. On the other hand, CoNNECT will help the utility companies to better understand their customers by making available to the utilities additional datasets that they naturally do not have access to, which could help them develop focused services for their customers. These additional capabilities are parts of the utility portal of the CoNNECT framework. In this paper, we describe the CoNNECT framework, the sources of the data used in its development, the functionalities of both the public and utility portals, and the application of empirical mode decomposition for decomposing usage signals into mode functions with the hope that such mode functions could help in clustering customers into unique groups and in developing guidelines for energy conservation.

scholarly journals The Factors Affecting Jordanians Housewives Consumption Behavior: A Qualitative Approach

2018 ◽  
Vol 11 (5) ◽  
pp. 110
Author(s):  
Mohammad Ibrahim Obeidat ◽  
Abdullah Oweidat ◽  
Nazieh Hamdi ◽  
Zaid Mohammad Obeidat
Keyword(s):  
Basic Needs ◽  
Qualitative Approach ◽  
Purchase Decision ◽  
Purchase Decisions ◽  
Structured Interviews ◽  
Factors Affecting ◽  
Consumption Behavior ◽  
The Family ◽  
Managerial Implications ◽  
Main Factor

Based on the findings of semi-structured interviews with (N=129) Jordanian housewives, this study examined the psychological, social, and marketing influences on the purchase and consumption behavior of Jordanian housewives. Overall, the findings of this study showed that the purchase decisions of the housewives were motivated by necessity to satisfy basic needs and the family appeared to be the main influencer affecting the housewife purchase decision.  With regards to the factors prohibiting consumption, inflation appeared to be the main factor discouraging housewives from making purchases. A number of managerial implications and suggestions are also presented.

Network Energy Consumption Models and Energy Efficient Algorithms

2012 ◽  
Vol 35 (3) ◽  
pp. 603-615 ◽  
Author(s):  
Fa ZHANG ◽  
Antonio Fernandez Anta ◽  
Lin WANG ◽  
Chen-Ying HOU ◽  
Zhi-Yong LIU
Keyword(s):  
Energy Consumption ◽  
Energy Efficient ◽  
Efficient Algorithms

Performance Analysis of Energy Efficient Opportunistic Routing Protocols in Wireless Sensor Network

2019 ◽  
Vol 09 ◽  
Author(s):  
Premkumar Chithaluru ◽  
Rajeev Tiwari ◽  
Kamal Kumar
Keyword(s):  
Energy Consumption ◽  
Routing Protocols ◽  
Energy Efficient ◽  
Data Communication ◽  
Opportunistic Routing ◽  
Link Quality ◽  
Delivery Ratio ◽  
Performance Parameters ◽  
Wireless Medium ◽  
Reduce Energy Consumption

Background: Energy Efficient wireless routing has been an area of research particularly to mitigate challenges surrounding performance in category of Wireless Networks. Objectives: The Opportunistic Routing (OR) technique was explored in recent times and exhibits benefits over many existing protocols and can significantly reduce energy consumption during data communication with very limited compromise on performance. Methods : Using broadcasting nature of the wireless medium, OR practices to discourse two foremost issues of variable link quality and unpredictable node agility in constrained WSNs. OR has a potential to reduce delay in order to increase the consistency of data delivery in network. Results : Various OR based routing protocols have shown varying performances. In this paper, a detailed conceptual and experimental analysis is carried out on different protocols that uses OR technique for providing more clear and definitive view on performance parameters like Message Success Rate, Packet Delivery Ratio and Energy Consumption.

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