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The amount of energy consumption of buildings has obtained international concern so the concept of zero energy building becomes a target for building designers. There are various definitions and evaluation methods for efficient buildings. However, detailed research about the critical parameters that have a major effect through the operational time to reduce the energy consumption is not emphasized as this paper represents. The main aim of this study is to identify the effect of applicable interventions on energy consumption parameters with their sensitivity to each other to reach zero energy building. Relatedly, the cost of energy reduction is also determined.

Energy consumption parameters were defined as area lightings, space heating, space cooling, ventilation fans, pumps, auxiliary equipment and related miscellaneous equipment. The effect of each applied intervention on energy consumption was classified as high, medium, low, very low, no effect and negative effect by utilizing a sensitivity analysis. The base case's energy model is created by utilizing energy performance software such as e-Quest. Accordingly, energy performance improvement scenarios are developed by applying interventions such as lamp replacements, sensors, heat pumps and photovoltaic panels’ integration. Furthermore, sensitivity analyses of each intervention were developed for consumed energy and its cost.

Results indicated the electric consumption is more effective than gas consumption on primary energy and energy cost. Solar systems decline primary energy by 78.53%, lighting systems by 13.47% and heat pump by 5.48% in this building; therefore, integrating mentioned strategies could rise the improvement rate to 100%, in other words, zero amount of energy is using from the grid that means saving $ 5,750.39 in one year.

The study can be applied to similar buildings. It is worthwhile to investigate suggested methods in diverse buildings with different functions and climates in future works.

This study aims to investigate of energy consumption of an educational building in the Mediterranean climate to convert an existing building into a zero energy building by saving energy and renewable sources. Subsequent purposes are analyzing the effect of each strategy on energy consumption and cost.

The novelty of this study is filling gaps in sensitivity analysis of energy consumption parameters by not only identifying their effect on overall energy consumption but also identifying their effect on each other. Some interventions may have a positive effect on overall consumption while having a negative effect on each other. Identifying this critical effect in detail not only further improves the energy performance, but also may affect the decision-making of the interventions.

This chapter reviews the econometric approaches typically used to deal with the spike of zeros when modelling non-negative outcomes such as expenditures, income, or consumption. Relying on the assumptions of selection on observables for evaluating a policy or treatment, this chapter discusses other issues that arise with spikes of zeros in the data, including the analyst's choice between full information versus quasi-likelihood methods, considering whether observed zeros are true or masking more complex behavioural decisions, and dealing with zeros that arise due to self-selection. This chapter ends with discussions of empirical strategies to deal with these behavioural assumptions and a brief review of the literature where such strategies were employed.

One goal of the United Nation's key sustainable development is to ensure sustainable consumption and production habits. In particular, the United Nation's target 12.5 aims at substantially reducing “waste generation through prevention, reduction, recycling, and reuse by 2030” (United Nations, 2022). This strategy goes hand in hand with the so-called “Zero Waste” concept where waste is reduced as much as possible. Zero Waste has gained increasing attention in production technology and waste management literature. Interestingly, the concept has also become more and more popular with consumers in recent years. Indeed, environmentally conscious consumers increasingly make efforts to reduce their waste production by changing their lifestyles accordingly (Săplăcan & Márton, 2019), such as bringing their own bags for grocery shopping or using their own coffee-to-go mugs when filling coffee in cafés. These Zero Waste practices become particularly popular with consumers in the food industry. By investigating the Zero Waste practices within the food industry, this research will demonstrate how companies develop business ideas to address this consumption trend. Specifically, it shows both challenges and opportunities companies face when targeting Zero Waste consumers. Moreover, the chapter analyzes the impact of the COVID-19 pandemic on Zero Waste consumption patterns in the food industry and proposes strategies how food companies can respond effectively to these changes. Finally, the research provides practical recommendations to companies on how to implement Zero Waste practices to appeal to environmental conscious Zero Waste consumers.

The purpose of this paper is to examine the feasibility and design of zero-energy buildings (ZEBs) in cold and semi-arid climates. In this study, to maximize the use of renewable energy, energy consumption is diminished using passive solar architecture systems and techniques.

The case study is a residential building with a floor area of 100 m² and four inhabitants in the cold and semi-arid climate, northeast of Iran. For thermal simulation, the climate data such as air temperature, sunshine hours, wind, precipitation and hourly sunlight, are provided from the meteorological station and weather databases of the region. DesignBuilder software is applied for simulation and dynamic analysis of the building, as well as PVsyst software to design and evaluate renewable energy performance.

The simulation results show a 30% decrease in annual energy consumption of the building by complying with the principles of passive design (optimal selection of direction, Trombe wall, shade, proper insulation selection) from 25,443 kWh to 17,767 kWh. Then, the solar energy photovoltaic (PV) system is designed using PVsyst software, taking into account the annual energy requirement and the system’s annual energy yield is estimated to be 26,291 kWh.

The adaptive comparison of the values obtained from the energy analysis indicated that constructing a ZEB is feasible in cold and semi-arid conditions and is considered an effective step to achieve sustainable and environmentally friendly construction.

There was unfinished business to address in the version of the planner–doer model developed in Thaler and Shefrin (1981). The unfinished business involved identifying and modeling the crucial roles played by temptation and mental accounting in pensions and savings behavior. The present paper has two objectives.

The first objective is to describe the key lessons learned in transitioning from the model in Thaler and Shefrin (1981) to the model in Shefrin and Thaler (1988), a transition which addressed some of the unfinished business. The second objective is to describe as yet unfinished business associated with developing a multicommodity, intertemporal version of the planner–doer framework, incorporating the concepts of temptation and mental accounting, to replace the neoclassical theory of the consumer.

Doing so will provide a theoretical foundation for nudges related to household budgeting, spending, saving, borrowing and investing.

This paper presents the first behavioral theory of the consumer, focusing on the manner in which consumers actually make decisions about budgeting, spending. borrowing and saving. The approach in the paper can be viewed as a behavioral counterpart to the neoclassical theory of the consumer. In contrast to the neoclassical approach, which assumes that consumers set and follow utility maximizing budgets, the empirical evidence indicates that only a small minority of consumers describe themselves as setting and following budgets. The behavioral theory presented here focuses on the heuristic nature of consumers' actual budgeting processes and extends the approach described in Thaler and Shefrin's 1981 seminal paper on self-control. The core of the present paper is a working paper which Shefrin and Thaler began in 1980, and as such represents unfinished business from that time. The first part of this paper describes earlier unfinished business from the 1981 framework that the authors subsequently addressed as they developed the behavioral life cycle hypothesis during the 1980s.

The purpose of this study is to design a zero-energy home, which is known to be capable of balancing its own energy production and consumption close to zero. Development of low-energy homes and zero-net energy houses (ZEHs) is vital to move toward energy efficiency and sustainability in the built environment. To achieve zero or low energy targets in homes, it is essential to use the design process that minimizes the need for active mechanical systems.

The methodology discussed in this paper consists of an interfacing building information modeling (BIM) tool and a simulation software to determine the potential influence of phase change materials on designing zero-net energy homes.

BIM plays a key role in advancing methods for architects and designers to communicate through a common software platform, analyze energy performance through all stages of the design and construction process and make decisions for improving energy efficiency in the built environment.

This paper reviews the literature relevant to the role of BIM in helping energy simulation for the performance of residential homes to more advanced levels and in modeling the integrated design process of ZEHs.

In recent years, there have been a growing number of projects and initiatives to promote the development and market introduction of low and net-zero energy solar homes and communities. These projects integrate active solar technologies to highly efficient houses to achieve very low levels of net-energy consumption. Although a reduction in the energy use of residential buildings can be achieved by relatively simple individual measures, to achieve very high levels of energy savings on a cost effective basis requires the coherent application of several measures, which together optimise the performance of the complete building system. This article examines the design process used to achieve high levels of energy performance in residential buildings. It examines the current design processes for houses used in a number of international initiatives. The research explores how building designs are optimised within the current design processes and discusses how the application of computerised optimisation techniques would provide architects, home-builders, and engineers with a powerful design tool for low and net-zero energy solar buildings.

This paper aims to detect abnormal energy uses which relate to undetected consumption, thefts, measurement errors, etc. The detection of irregular power consumption, with variation in irregularities, helps the electric utilities in planning and making strategies to transfer reliable and efficient electricity from generators to the end-users. Abnormal peak load demand is a kind of aberration that needs to be detected.

This paper proposes a Density-Based Micro Spatial Clustering of Applications with Noise (DBMSCAN) clustering algorithm, which is implemented for identification of ranked irregular electricity consumption and occurrence of peak and valley loads. In the proposed algorithm, two parameters, a and ß, are introduced, and, on tuning of these parameters, after setting of global parameters, a varied number of micro-clusters and ranked irregular consumptions, respectively, are obtained. An approach is incorporated with the introduction of a new term Irregularity Variance in the suggested algorithm to find variation in the irregular consumptions according to anomalous behaviors.

No set of global parameters in DBSCAN is found in clustering of load pattern data of a practical system as the data. The proposed DBMSCAN approach finds clustering results and ranked irregular consumption such as different types of abnormal peak demands, sudden change in the demand, nearly zero demand, etc. with computational ease without any iterative control method.

The DBMSCAN can be applied on any data set to find ranked outliers. It is an unsupervised approach of clustering technique to find the clustering results and ranked irregular consumptions while focusing on the analysis of and variations in anomalous behaviors in electricity consumption.

Multiple connotations and conceptions of health need are currently in use. The purpose of this paper is to specify some important distinctions regarding this confusing multiplicity in a taxonomic fashion relevant to the economic problems that arise in addressing health need. Classification is possible with the relevant concepts in conventional economic theory. The classification applies wherever economic considerations bear upon health need.

Initially, some seminal economic ideas about need are presented from Marshall, Pauly, Banfield, Jevons, Deaton and Meullbauer, and Georgescu‐Roegen. Recent discussions of basic needs by Sen and Nussbaum concerning “capabilities” and human flourishing are also considered. Ruger's subsequent developments of these concepts specifically for health are noted. The paper then specifies and classifies the current economic connotations of “health need” by applying positive economic analysis and the framework of economic theory. In particular, the conventional theories of consumer demand and production supply are useful. Geometric tools of analysis along with illustrations from the health sector specify various distinctions and classifications.

The uses of the generic term “need” relate to quite different economic problems. The findings show how diverse interpretations of need can be specified.

Distinctions over health need are important since, in many Western countries, need is one of the “pillars” of the Welfare State. Effective policy requires sound conceptions and measurements of need. Given the relevance of economics for approaching competing resource uses in the face of health need, measurement of need is improved with taxonomy, and confusion reduced.

The paper is devoted to modeling a pricing policy of competitive firms in a “closed” economy framework.

The proposed model can be regarded as an analog to CGE model and is based on the intersectoral balance methodology incorporating linear demand functions for goods and services.

By performing different model experiments, we show that a certain degree of competition can bring more profit to all competing firms, than in case of complete absence of such competition, what is also supported by empirical investigation. This finding implies that monopolies may perform worse than competitive firms, what contradicts with the modern provisions of economic theory, stating that monopoly is the most lucrative type of market structure for a producer. The discovered effect occurs due to the aggressive pricing policy, adopted by monopolies, spurring up the inflation spiral, which is most obvious if monopolies are strongly interdependent in terms of production matrix. This inflation spiral drives prices too high, what negatively reflects on firms’ costs and, consequently, results in monopolies receiving less profit.

The proposed model can also be useful for understanding and assessing various economic consequences after different external or internal shocks, what is especially crucial when conducting monetary or fiscal policy.