scholarly journals Influencing factors in energy use of housing blocks: a new methodology, based on clustering and energy simulations, for decision making in energy refurbishment projects

2016 ◽  
Vol 10 (2) ◽  
pp. 359-382 ◽  
Author(s):  
X. Cipriano ◽  
A. Vellido ◽  
J. Cipriano ◽  
J. Martí-Herrero ◽  
S. Danov
2018 ◽  
Vol 2 (3) ◽  
pp. 87
Author(s):  
Bin Feng ◽  
Hua Chen ◽  
Qinglei Li ◽  
Wei Li

Based on the theory of consumer behavior, this paper analyzes the current situation of tourism shopping market in Kunming, and analyzes the decision-making behavior of tourists shopping in Kunming with the questionnaire survey, and clarifies the influencing factors of the decision-making behavior of visitors to Kunming. In the future, the influencing factors of Kunming tourists' shopping decision-making behavior are combined with the current situation of Kunming's tourism shopping market. The problems of cheating-induced shopping, the high price of shopping products, the low level of tourism shopping experience and the imperfect after-sales service are analyzed. Finally, the corresponding countermeasures and suggestions are proposed from four aspects: rectifying the tourism shopping market, establishing a sound price supervision mechanism, strengthening the tourism shopping experience, and improving after-sales service.


Author(s):  
Yong Wang ◽  
Lin Li

This paper proposes a framework for addressing challenges of joint production and energy modeling of sustainable manufacturing systems. The knowledge generated is used to improve the technological readiness of manufacturing enterprises for the transition towards sustainable manufacturing. Detailed research tasks of the framework are on the modeling of production, energy efficiency, electricity demand, cost, and demand response decision making. Specifically, the dynamics and performance measures of general manufacturing systems with multiple machines and buffers are modeled to integrate energy use into system modeling. The expressions of electrical energy efficiency and cost are then established based on the electricity pricing profile. Finally, joint production and energy scheduling problem formulations and the solution technique are discussed. New insights are acquired based on the applications of the established model in system parameter selection, rate plan switching decision making, and demand response scheduling. Appropriate implementation of this research outcome may lead to energy-efficient, demand-responsive, and cost-effective operations and thus improve the sustainability of modern manufacturing systems.


2021 ◽  
Vol 42 ◽  
pp. 203-208
Author(s):  
Mihai Demian ◽  
Gabriela Demian

The paper presents a way of selecting flat or carbonated mineral waters depending on the purpose for which it wishes to be used. A good mineral water must meet certain physical and chemical qualities at certain temperatures and have the appropriate pH to have the desired therapeutic effect. The analysis of the purpose for which the selection of mineral waters is desired results in the characteristics of the water to be analyzed, compared, and for which a weight of their influence in the decision-making is established. For selected waters, the characteristics receive scores that will in turn influence the selection of the recommended type of mineral water. The conclusions of the paper allow the establishment of a certain type of mineral water for the characteristics imposed by the desired purpose.


Author(s):  
Mari Aino Hukkalainen ◽  
Krzysztof Klobut ◽  
Tarja Mäkeläinen ◽  
Vanda Dimitriou ◽  
Dariusz Leszczyński

Practical guidelines are presented for improved process for design and retrofitting of energy-efficient buildings, with an aim to integrate buildings better with the neighbourhood energy system, among others through energy matching. The chapter describes the role of energy simulations in an integrated building retrofitting process and how to select technologies for the retrofitting toward nearly zero energy building level. Feasibility of performing a holistic analysis of retrofitting options can be increased through the integration of BIM, well populated, and linked databases and a multi-criteria decision-making approach. Multiple-criteria decision-making methods aid taking into account a number of building energy performance and user-preference-related criteria and the trade-offs between the different criteria for each retrofitting option. The real-life viewpoints and benefits of utilising the developed methods and processes are discussed, especially from the Eastern European view.


2019 ◽  
Vol 11 (6) ◽  
pp. 1754 ◽  
Author(s):  
Jun Dong ◽  
Dongran Liu ◽  
Dongxue Wang ◽  
Qi Zhang

With the deepening reform of the power market, the external environment of China’s power industry is going through a huge change. China’s traditional power generation groups (TPGGs), with assets all over the country, are, due to a lack of market awareness about energy policies, facing serious challenges in developing competitive advantages, improving power transaction modes, optimizing profit models, and even realizing basic corporate strategies. In this study, we focus on identifying the key factors influencing sustainable development in an unprecedented market environment for TPGGs, so as to achieve overall sustainable development for the whole power generation sector in China. A hybrid framework based on Multiple-Criteria Decision-Making (MCDM) was proposed to recognize the key influencing factors under vague rule conditions. We developed a novel method combining three different MCDM methods with triangular fuzzy numbers (TFNs), fuzzy Delphi, fuzzy Decision-Making Trial and Evaluation Laboratory (DEMATEL), and Analytic Network Process (ANP), to cover uncertainty and make the problem-solving approach closer to the actual problem. A series of analyses indicate that the final 14 factors covering the five dimensions are considered to be important factors in the sustainable development of TPGGs. Based on the results, it can be said that “Gross energy margin” and “Pricing bidding strategy” dominate the impacts of TPGG’s sustainable development. Finally, we give some advice relating to practical measures to help TPGGs achieve sustainable development in the market-oriented industry environment.


2016 ◽  
Vol 20 (08) ◽  
pp. 1640020 ◽  
Author(s):  
NIZAR ABDELKAFI ◽  
SERGIY MAKHOTIN ◽  
MARINA THUNS ◽  
ANNA POHLE ◽  
KNUT BLIND

Young companies need support concerning decisions related to intellectual properties. Entrepreneurs can resort to a menu of strategies, not only patenting. First, we explore the literature on standardisation and patenting and relate it to entrepreneurship to identify the internal and external influencing factors as well as the motives and risks related to decision making. Then, we conduct five case studies to explore these influencing factors, while trying to reconstruct the decision making process. We find five main factors: technology, resources, knowledge protection vs. knowledge diffusion, need for partnerships, and pace of innovation. Companies should use patents when their technology is patentable and knowledge protection is perceived essential. Standardisation is suitable when knowledge diffusion is more important than protection, and companies look for establishing new partnerships. These insights are integrated into a decision tree that provides guidance to young entrepreneurs to make an informed decision regarding intellectual properties.


2019 ◽  
Vol 32 (2) ◽  
pp. e197-e203 ◽  
Author(s):  
Meta Weltens ◽  
Jascha de Nooijer ◽  
Marianne J. Nieuwenhuijze

2019 ◽  
Vol 74 (3) ◽  
pp. 400-415 ◽  
Author(s):  
Frida Bahja ◽  
Cihan Cobanoglu ◽  
Katerina Berezina ◽  
Carolin Lusby

Purpose The purpose of the study was to discover the relative importance of influencing factors toward booking a cruise vacation. Based on a review of literature, this study focused on exploring the relative importance of six influential factors in cruise customers’ decision-making process: cruise vacation price, cruise duration, distance from the cruise port, itineraries, environmental friendliness of cruise line and cruise online reviews. Design/methodology/approach The complexity of cruise customers’ decision-making process for involving these six attributes with several levels was examined with choice-based conjoint (CBC) analysis. CBC was selected due to its realistic approach to purchase decisions, in the form of trade-offs. The online survey collected data anonymously. The survey was distributed through Amazon’s Mechanical Turk (Mturk) platform. The sample consisted of 450 cruise customers, who had experienced a cruise vacation before. Findings The findings of the study showed that online reviews were the most influential attribute for cruise customers in their cruise decision, followed very closely by the environmental friendliness of the cruise line. The next influential factor was the duration of the cruise vacation, which was followed by distance from the cruise port, cruise itinerary and cruise vacation price. The best and the worst cruise vacation profiles were generated based on the CBC analysis. Practical implications The findings of this study provide some insights with regard to cruise customers’ importance about influencing factors when deciding on a cruise vacation. Originality/value The research provides insides in understanding the influential factors at the last stage of cruise customers’ decision-making process. In this regard, cruise industry can pay more attention in promoting the attributes of a cruise offer as influential factors. Additionally, the findings of this study contribute to the general knowledge about cruise customers’ decision-making process.


Sign in / Sign up

Export Citation Format

Share Document