Life cycle cost analysis of silicon and organic building integrated photovoltaic systems (BiPV)

Despite the undisputed benefits associated with photovoltaic (PV) technology, the financial barrier acts as the major hurdle before it is seen as a commercial competitive form of renewable energy. Many studies have been performed outlining the life cycle energy benefits of PV technology. However, there has been limited number of studies dedicated to the life cycle cost impacts. The aim of this paper is to identify whether life cycle cost analysis is the best approach to determining the cost contributors or savings associated with this technology. This paper has been structured similarly to previous life cycle energy studies to consider the cost implications involved within each area of the products lifecycle. Amongst many new developments, traditional silicon based units have been challenged by the introduction of new organic systems; and recent studies highlight that these systems offer major cost reductions. Based on an analysis of current literature, this paper identifies that the recent growth and development of both organic and silicon based systems have had a considerable effect on the cost of PV cells. The competitive nature of the renewable energy market will also impact on a life cycle cost analysis; and any potential findings will valid for a limited timeframe.

Examining performance of aggregation algorithms for neural network-based electricity demand forecasting

The aim of this research is to examine the efficiency of different aggregation algorithms to the forecasts obtained from individual neural network (NN) models in an ensemble. In this study an ensemble of 100 NN models are constructed with a heterogeneous architecture. The outputs from NN models are combined by three different aggregation algorithms. These aggregation algorithms comprise of a simple average, trimmed mean, and a Bayesian model averaging. These methods are utilized with certain modifications and are employed on the forecasts obtained from all individual NN models. The output of the aggregation algorithms is analyzed and compared with the individual NN models used in NN ensemble and with a Naive approach. Thirty-minutes interval electricity demand data from Australian Energy Market Operator (AEMO) and the New York Independent System Operator's web site (NYISO) are used in the empirical analysis. It is observed that the aggregation algorithm perform better than many of the individual NN models. In comparison with the Naive approach, the aggregation algorithms exhibit somewhat better forecasting performance.

Analysis of different scenarios for residential energy management under existing retail market structure

This paper presents an analysis of a residential energy management scheme under existing retail market structure with the integration of solar photovoltaic (PV) and battery energy storage systems. In this paper, different scenarios are analyzed with an aim of achieving the most cost-effective solutions for the integration of solar PV and battery energy storage systems. The main idea behind these analyses is to obtain a grid independent residential energy management system through the reduction of purchasing energy from the existing power grid. The results from the analysis of different scenarios for a typical Australian house demonstrate that the shortage of energy during the high loads and excess of energy during the higher output of solar PV system can be reduced with the design of a proper energy management scheme employing a transactive energy management framework.

Childhood obesity - a sign of commercial success, but a market failure.

'Obesogenic' products, such as energy dense foods, passive entertainment products, cars, and labour-saving devices, are widely available and heavily promoted. Because they are highly consumed and very profitable, obesity becomes the inevitable consequence of their commercial successes. Contemporary market forces heavily favour behaviours for short-term preferences (i.e. over-consumption and underactivity) over long-term preferences (i.e. healthy weight) and this is especially true for children. Hence, if the market, as the main mechanism for determining choices, results in outcomes, which make our children worse off, as is occurring with childhood obesity, then the market has failed to sustain and promote social and individual goals. This is a serious market failure. In the current obesogenic environment, expecting adults, let alone children, to make food and activity choices in their own best long-term interests is, therefore, demonstrably flawed. We argue that significant government intervention is needed to correct this market failure, as has been done for other major health problems.

Promoting energy efficiency in the private rented sector

The English House Condition Survey for 1991 demonstrated that levels of energy efficiency in private rented property are significantly below other sectors, even though energy improvements have tangible benefits for landlords. The low level of energy efficiency provision in the private rented sector indicates that landlords are unaware or unconvinced of these benefits and market barriers may have restricted uptake. Information regarding energy efficiency advice to the private rented HMO sector has focussed on offering good practice design guidance, and information about the level of fitness and overall characteristics of the sector. This research project evaluated the PRESS scheme, which encouraged landlords to introduce energy efficiency measures. A total of 78 private sector rented properties in Sheffield were analysed with retrofit measures to improve levels of energy efficiency. The results demonstrate that whilst market barriers exist, the PRESS scheme went some way to overcoming some barriers to energy efficiency.

Utilising solar energy within conventional coal fired power stations

Although the thermodynamic advantages of using solar energy to replace the bled off steam in the regeneration system of Rankine cycle coal fired power stations has been proven theoretically, the practical techno/economic feasibility of the concept has yet to be confirmed relative to real power station applications. To investigate this concept further, computer modelling software “THERMSOLV” was specifically developed for this project at Deakin University, together with the support of the Victorian power industry and Australian Research Council (ARC). This newly developed software simulates the steam cycle to assess the techno/economic merit of the solar aided concept for various power station structures, locations and local electricity market conditions. Two case studies, one in Victoria Australia and one in Yunnan Province, China, have been carried out with the software. Chapter one of this thesis defines the aims and scope of this study. Chapter two details the literature search in the related areas for this study. The thermodynamic concept of solar aid power generation technology has been described in chapter three. In addition, thermodynamic analysis i.e. exergy/availability has been described in this chapter. The “Thermosolv” software developed in this study is detailed in chapter four with its structure, functions and operation manual included. In chapter five the outcomes of two case studies using the “Thermosolv” software are presented, with discussions and conclusions about the study in chapters 6 and 7 respectfully. The relevant recommendations are then made in chapter eight.

Urban sustainability and market typologies : lessons from Tabriz Bazaar

The market is an essential component of urban form. Contemporary shopping malls can benefit from the inherent efficiencies of traditional markets. This paper addresses the development of sustainable models of market typologies based on a specific case study, the Bazaar of Tabriz in Iran.

As one of the biggest historical covered markets in the world (Moradi and Nassabi 2007), it remains an effective trading centre in the city. What are the lessons that make Tabriz a sustainable urban typology and what lessons can we draw from its spatial and operational structure?

To address this question, the paper presents two analytical studies of the urban and building morphology of Tabriz. First, the paper presents an analysis of the urban and social structure of the market based on Lynchian analysis. Second, it provides an analysis of the thermal, ventilation and lighting principles used in the buildings of the market and how they respond to the extreme climatic conditions of north-west Iran.

Rainfall and snow in one side and hot summers in the other, give the buildings in the city really critical performance in terms of life span during the years of operation.

The main target in this case study, is to illuminate the urban typological clarifications in the Bazaar of Tabriz, which wilt elucidate how parallel links between urban morphology (land cover) and urban typology (land use) in a defined urban planning can form a sustainable urban space. Moreover, how the case of this study can be an energy efficient complex with its own urban morphology.

The lessons of Tabriz for the development of contemporary markets are summarised in the paper and need to be addressed at two scales, namely the urban scale and the scale of the building.

Context dependency of comfort and energy performance in mixed mode offices

This article investigates the context dependency of comfort and energy performance in mixed-mode offices in the climate of Athens, Greece. It is based on a parametric study using the simulation software EnergyPlus. Context refers to different building design priorities on the real estate market (prestige, low cost and green), occupant behaviour scenarios (ideal and worst case) and cooling strategies (fixed and adaptive set points). Results are evaluated according to energy consumption and related greenhouse gas emissions, daylight autonomy, view and percentage of working time when heating and cooling are operating. The results indicate that a holistic approach to comfort and energy performance evaluation focused on the specific context of a building and its occupants is necessary to develop appropriate optimization strategies. In early design stages, such specific information is not yet available and ideal/worst-case scenarios can indicate the magnitude of influence of occupants compared to building design.

Market analysis study of the value technology systems to home owners

Smart Technology involves the integration of a variety of home systems including lighting, climate control, security etc. to enhance the comfort, convenience and economy of the home for its users. It is currently unknown if home buyers believe that these systems add value to the home. This study used the market value of home sales and an attitudinal survey of home buyers, to determine the increased value of homes containing Smart Technology. The results demonstrated that a significant price premium was paid by for the incorporation of the technology into new homes. In addition, the research suggests that the use of this technology is not limited to high income earners or other demographic stereotypes. Instead it has broad market appeal and the potential to save energy for the community at large.

Japanese beef market in transition

Reports on changes in Japanese beef market following removal of import quotas.

Developments in the Japanese beef market following import liberalisation

Over the last several years there has been increasing pressure on most western industrialised countries to liberalise trade for food and agricultural products and yet the full implications of freer trade are not always well understood. This paper attempts to fill this gap by reviewing the developments in the Japanese beef market following import liberalisation. We conclude that the Japanese beef market has experienced major structural changes over a relatively short period as a result of liberalising beef imports. The most apparent impact has been on Japanese consumers who have benefited from lower retail beef prices and a greater variety of beef cuts to choose from. The types and quality of beef imported have also changed and consequently major suppliers have adapted their production systems and their products to the changing taste and preferences of Japanese consumers. Beef exporters to Japan, on the other hand, have experienced declining wholesale prices but have, nevertheless, benefited from the growing size of the market. Developments in the wider economy, such as changes in the retail distribution systems and the exchange rate have also influenced the beef sector.

Energy efficiency rating systems for housing : an Australian perspective

Purpose – The purpose of this paper is to examine current trends in energy efficiency ratings and consider their likely impact on the Australian housing market.

Design/methodology/approach – The research is yet to be conducted; however a mixed method is proposed which is grounded on the theoretical model of consumer behaviour within housing markets. This model has been tested and demonstrated to be useful in predicting buyer behaviour.

Findings – Established theories of buyer perception indicate the introduction of energy efficiency rating systems will have an effect on the level of house prices.

Research limitations/implications – This research is focussed on housing in Australia but also has implications for other global housing markets which are addressing sustainability.

Practical implications – Outputs of this research have implications for policy makers, real estate agents and valuers.

Social implications – Increasing energy costs is likely to restructure the way housing markets operate with regard to sustainability and energy efficiency rating systems and also how they are understood.

Originality/value – This research will be in the Australian context utilising international modeling. As mandatory energy efficiency ratings have not been introduced, this research will be original.

Nutritional quality, labelling and promotion of breakfast cereals on the New Zealand market

Breakfast cereals substantially contribute to daily energy and nutrient intakes among children. In New Zealand, new regulations are being implemented to restrict nutrition and health claims to products that meet certain 'healthy' criteria. This study investigated the difference in nutritional quality, labelling and promotion between 'healthy' and 'less healthy' breakfast cereals, and between breakfast cereals intended for children compared with other breakfast cereals on the New Zealand market. The cross-sectional data collection involved taking pictures of the nutrition information panel (NIP) and front-of pack (FoP) for all breakfast cereals (n = 247) at two major supermarkets in Auckland in 2013. A nutrient profiling tool was used to classify products into 'healthy'/'less healthy'. In total 26% of cereals did not meet the 'healthy' criteria. 'Less healthy' cereals were significantly higher in energy density, sugar and sodium content and lower in protein and fibre content compared with 'healthy' cereals. Significantly more nutrition claims (75%) and health claims (89%) featured on 'healthy' compared with 'less healthy' cereals. On the 'less healthy' cereals, nutrition claims (65%) were more predominant than health claims (17%). Of the 52 products displaying promotional characters, 48% were for 'cereals for kids', and of those, 72% featured on 'less healthy' cereals. In conclusion, most breakfast cereals met the 'healthy' criteria; however, 'cereals for kids' were 'less healthy' and displayed more promotional characters than other cereal categories. Policy recommendations include: food composition targets set or endorsed by government, strengthening and enforcing current regulations on health and nutrition claims, considering the application of nutrient profiling for nutrition claims in addition to health claims, introducing an interpretative FoP labelling system and restricting the use of promotional characters on 'less healthy' breakfast cereals.

An examination of the prevalence, consumer profiles, and patterns of energy drink use, with and without alcohol, in Australia

BACKGROUND: There has been a significant growth in the energy drink (ED) market in Australia and around the world; however, most research investigating the popularity of ED and alcohol and energy drink (AED) use has focused on specific subpopulations such as university students. The aim of this study was to estimate the prevalence, consumption patterns, and sociodemographic correlates of ED and combined AED use among a representative Australian population sample. METHODS: A computer-assisted telephone interview survey (n = 2,000) was undertaken in March-April 2013 of persons aged 18 years and over. Half of the interviews were obtained through randomly generated landline telephone numbers and half through mobile phones. Approximately half of the sample was female (55.5%; n = 1,110) and the mean age of participants was 45.9 (range 18 to 95, SD 20.0). RESULTS: Less than 1 in 6 Australians reported ED use (13.4%, n = 268) and 4.6% (n = 91) reported AED use in the past 3 months. Majority of ED and AED users consumed these beverages monthly or less. ED and AED users are more likely to be aged 18 to 24 years, live in a metropolitan area, and be moderate risk or problem gamblers. AED consumers are more likely to report moderate levels of psychological distress. CONCLUSIONS: Our findings in relation to problem gambling and psychological distress are novel and require further targeted investigation. Health promotion strategies directed toward reducing ED and AED use should focus on young people living in metropolitan areas and potentially be disseminated through locations where gambling takes place.

Market-based sensor relocation by robot team inwireless sensor networks

Randomly scattered sensors may cause sensing holes and redundant sensors. In carrier-based sensor relocation, mobile robots (with limited capacity to carry sensors) pick up additional or redundant sensors and relocate them at sensing holes. In the only known localized algorithm, robots randomly traverse field and act based on identified pair of spare sensor and coverage hole. We propose a Market-based Sensor Relocation (MSR) algorithm, which optimizes sensor deployment location, and introduces bidding and coordinating among neighboring robots. Sensors along the boundary of each hole elect one of them as the representative, which bids to neighboring robots for hole filling service. Each robot randomly explores by applying Least Recently Visited policy. It chooses the best bid according to Cost over Progress ratio and fetches a spare sensor nearby to cover the corresponding sensing hole. Robots within communication range share their tasks to search for better possible solutions. Simulation shows that MSR outperforms the existing competing algorithm G-R3S2 significantly on total robot traversed path and energy, and time to cover holes, slightly on number of sensors needed to cover the hole and number of sensor messages for bidding and deployment location sharing.