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Globally, waste management has been a topical issue in the past few decades due to the continual increase in municipal solid waste (MSW) generation that is becoming difficult to handle with conventional waste management techniques. The situation is much more pronounced in economically developing countries where population growth rate and urbanisation are becoming uncontrollable. The purpose of this study was to assess the potential for waste to energy generation in the Kumasi metropolis, the second-largest city in Ghana.

To address the objectives of the study, a quantitative research approach, namely, the questionnaire was adopted. The data analysis was done using the statistical package for social sciences version 25, including both descriptive and inferential statistics to give an in-depth meaning to the responses from the participants.

The results showed that several factors hinder waste to energy technology in Ghana; key among them was high capital cost, high operational cost and lack of governmental support and policy framework. The results also revealed that 1 m³ of biogas generated from MSW in Kumasi could generate 36 MJ of energy, equivalent to 10 kW/h.

The unique contribution made by the paper is that it combines expert opinions, empirical data that included time series data and opinion of key actors in the waste management chain in assessing the potential for waste to energy generation in the Kumasi metropolis of Ghana.

This paper aims to analyze efficiency of the subsidies granted by the Spanish authorities. The case study focuses on wind-generated electricity. We will study what type of subsidy is most efficient considering the economic and technical data of an existing wind power installation in Spain. A sensitivity analysis is made in order to provide judgment elements to propose the form of the more convenient subsidy. In view of the results obtained, we will evaluate the efficiency of subsidies granted by Spanish authorities.

This paper aims to analyze efficiency of the subsidies granted by the Spanish authorities. The case study focuses on wind-generated electricity. We will study what type of subsidy is most efficient considering the economic and technical data of an existing wind power installation in Spain. A sensitivity analysis is made in order to provide judgment elements to propose the form of the more convenient subsidy. In view of the results obtained, we will evaluate the efficiency of subsidies granted by Spanish authorities.

This paper aims to design an optimum vertical axis wind turbine (VAWT) and assess its techno-economic performance for wind energy harvesting at high-speed railway in Malaysia.

This project adopted AutoCAD and ANSYS modeling tools to design and optimize the blade of the turbine. The site selected has a railway of 30 km with six stops. The vertical turbines are placed 1 m apart from each other considering the optimum tip speed ratio. The power produced and net present value had been analyzed to evaluate its techno-economic viability.

Computational fluid dynamics (CFD) analysis of National Advisory Committee for Aeronautics (NACA) 0020 blade has been carried out. For a turbine with wind speed of 50 m/s and swept area of 8 m², the power generated is 245 kW. For eight trains that operate for 19 h/day with an interval of 30 min in nonpeak hours and 15 min in peak hours, total energy generated is 66 MWh/day. The average cost saved by the train stations is RM 16.7 mil/year with battery charging capacity of 12 h/day.

Wind energy harvesting is not commonly used in Malaysia due to its low wind speed ranging from 1.5 to 4.5 m/s. Conventional wind turbine requires a minimum cut-in wind speed of 11 m/s to overcome the inertia and starts generating power. Hence, this paper proposes an optimum design of VAWT to harvest an unconventional untapped wind sources from railway. The research finding complements the alternate energy harvesting technologies which can serve as reference for countries which experienced similar geographic constraints.

The purpose of this paper is to investigate the potential of the experimental building integrated photovoltaic (BIPV) façade to cover net energy use in the adjacent office room. Electricity generated by PV panels was intended to cover the energy demand for the mechanical ventilation and the supplementary lighting. Analyses were performed for two orientations of the façade (east and west) and two occupancy profiles considering one or two employees per one office room.

The study was conducted by carrying detailed numerical analyses of energy produced by the BIPV façade and its consumption in adjacent office room. Calculations of energy generated by PV panels were made using simulation programme ESP-r. Advanced model, used in analyses, take into account dependence of the main electrical parameters of photovoltaic cell from temperature.

The findings reveal that energy generated by photovoltaic panels during transitional and cooling seasons is sufficient for lighting and ventilation requirement. However during winter months BIPV facade can cover energy demand only for ventilation.

The paper provides an original analysis of experimental BIPV façade system as a source of on-site produced renewable energy to cover energy demand in offices building under certain climate conditions. The results reported in presented paper shows the potential of BIPV facades and display this potential in a context of building net energy balance.

The purpose of this paper is to find the pattern with minimal deformation energy while developing from 3D designed garments. Moreover, darts are generated to further reduce deformation energy. The aims of the energy-based flattening method are to reduce the difference between 3D designed garments and 2D flattened patterns in an accurate and efficient way.

This study uses a mass spring method and iterative optimization to analyze pattern contours with minimal contour deformation while flattening three dimensional draping designs into a plane. Darts are generated to further reduce distortion during surface flattening and the energy method is introduced to verify that the analysis results obtained match the garment darts provided by the Bunka formula which is currently widely used in East Asia.

An efficient method for generating optimal darted pattern is presented. It compares the important factors of darts, including position, length and amount. After iterative optimization and darts generation, the maximum energy reduction is about 30 percent.

This study provides an aggregate to analyze and compare the differences between different patterns and conduct a verification comparison with traditional pattern formula.

To address the problem that the current train operation mode that train selects one of several offline pre-generated control schemes before the departure and operates following the scheme after the departure, energy-saving performance of the whole metro system cannot be guaranteed.

A cooperative train control framework is formulated to regulate a novel train operation mode. The classic train four-phase control strategy is improved for generating specific energy-efficient control schemes for each train. An improved brute force (BF) algorithm with a two-layer searching idea is designed to solve the optimisation model of energy-efficient train control schemes.

Case studies on the actual metro line in Guangzhou, China verify the effectiveness of the proposed train control methods compared with four-phase control strategy under different kinds of train operation scenarios and calculation parameters. The verification on the computation efficiency as well as accuracy of the proposed algorithm indicates that it meets the requirement of online optimisation.

Most existing studies optimised energy-efficient train timetable or train control strategies through an offline process, which has a defect in coping with the disturbance or delays effectively and promptly during real-time train operation. This paper studies an online optimisation of cooperative train control based on the rolling optimisation idea, where energy-efficient train operation can be realised once train running time is determined, thus mitigating the impact of unpredictable operation situations on the energy-saving performance of trains.

The purpose of this paper is to investigate impacts of policy instruments for market penetration of renewable technologies in South Africa. Based on the current debates about renewable energy policies and the comparative advantage of the country in terms of coal resources the author set up a framework focusing on renewable energy price subsidies, carbon tax and renewable energy portfolio standard.

Using a simulation model through a linear programming approach the paper assesses impacts of those policies on fossil fuel and renewable energy sectors via business‐as‐usual and policy option scenarios. The business‐as‐usual assumes that there are not policy instruments mobilized to promote adoption and diffusion of clean technologies instead of a policy scenario where such policies are included.

The results of the analysis show that when the coal‐based resources are integrated in the simulation process, only carbon tax and renewable energy price‐based subsidies promote a transition towards a sustainable energy production, therefore reduce the associated environmental damage.

Moreover, the paper also shows that in the case of carbon tax and renewable price subsidies, emission prices should be adequately scrutinized in order to guarantee a positive economic surplus.

This study aims to exploit the abundance of solar energy resources for socioeconomic development in the semi -arid Northeastern Brazil as a potent adaptation tool to global climate change. It points out a set of conjuncture factors that allow us to foresee a new paradigm of sustainable development for the region by transforming the sun’s radiant energy into electricity through distributed photovoltaic generation. The new paradigm, as presented in this essay, has the transformative potential to free the region from past regional development dogma, which was dependent on the scarce water resource, and the marginal and predatory use of its Caatinga Biome.

The research uses a pre ante design, following the procedures of scenario building, as an adaptation mechanism to climate change in the sector of energy generation and socioeconomic inclusion.

The scenarios of socioeconomic resilience to climate change based on the abundance of solar radiation, rather than the scarcity of water, demonstrates its potential as a global adaptation paradigm to climate change.

The developments proposed are dependent on federal legislation changes, allowing the small producer to be remunerated by the energy produced.

The proposed smart grid photovoltaic generation program increases the country's resiliency to the effect of droughts and climate change.

As proposed, the program allows for the reversion of a pattern of long term poverty in semi-arid Northeast Brazil.

The exploitation of the characteristics of abundance of the semiarid climate, i.e. its very condition of semi-aridity with abundant solar radiation, is itself an advantage factor toward adaption to unforeseen drought events. Extensive previous research has focused on weighting and monitoring drought i.e. the paradigm of scarcity. The interplay between exploiting Northeast Brazil’s abundant factors and climate change adaptation, especially at the small farmer levels constitutes a discovery never before contemplated.

Waste is a resource. Generating energy from waste instead of sending it to landfill avoids methane gas which equals 25 times CO₂ in mass. In combination with the energy efficiency thresholds set in Waste Framework Directive, this could prevent up to a further 45 million tons of CO₂ eq. per year. The purpose of this paper is to present the waste-to-energy (WTE) plants installed in ten European cities which have been selected among the most sustainable cities or among the best cities to live in.

The work is based on literature review and a combination of several statistical data and reports that include the required data.

The European Directives, along with the general thinking that wastes are resources and the effort to reduce the environmental impact in urban environment from waste management, were the driving forces. The most sustainable cities in EU considered that their sustainability is based also in energy recovery from wastes. All of them are using WTE facilities to treat a significant part of their waste in order to produce energy in the form of heat and electricity. And they do it in a very successful and environmental friendly way, as they mainly utilize the waste fractions that cannot be recycled or reused, and they do not landfill these resources. This approach is proving that the sustainable waste management cannot be achieved without WTE facilities, since a fraction of wastes consists of non-recyclable and non-reusable materials, which present significant heating value that cannot be neglected as an energy source.

This paper presents the WTE plants installed in ten European cities which have been selected among the most sustainable cities or among the best cities to live in. This work aims to present the strong and successful relation between WTE and sustainability in the modern complex urban environment.