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In order to achieve paramount economy, hybrid renewable energy sources are gaining importance, as renewable sources are costless. Over the past few years wind energy incorporation drew more consideration in the electricity market, as wind power took an affirmative role in energy saving as well as sinking emission pollutants. Recently developed Grey wolf optimizer (GWO) algorithm has conspicuous behavior for verdicting global optima, without getting ensnared in premature convergence. In the proposed research the exploitation phase of the grey wolf optimizer has been further improved using random exploratory search algorithm, which uses perturbed solutions vectors along with previously generated solution vectors. The paper presents a hybrid version of Grey Wolf Optimizer algorithm combined with random exploratory search algorithm (hGWO-RES) for the solution of combinatorial scheduling and dispatch problem of electric power systems. To validate the feasibility of the algorithm, the proposed algorithm has been tested on 23 benchmark problems. To verify the feasibility and efficacy of operation of proposed algorithm on generation scheduling and dispatch of electric power systems, small and medium scale power systems consisting of 7-, 10-, 19-, 20- and 40-generating units systems taken into consideration. Commitment and scheduling pattern has been evaluated with and without wind integration and it has been experimentally founded that proposed hybrid algorithm provides superior solution as compared to other recently reported meta-heuristics search algorithms.

The current status and challenges associated with the production and utilization of cellulosic ethanol in Korea are reviewed in this paper. Cellulosic ethanol has emerged as a promising option for mitigating Korea's CO(2) emissions and enhancing its energy security. Korea's limited biomass resources is the most critical barrier to achieving its implementation targets for cellulosic ethanol. Efforts to identify new suitable biomass resources for cellulosic ethanol production are ongoing and intensive. Aquatic biomasses including macroalgae and plantation wastes collected in the Southeast Asia region have been found to have great potential as feedstocks for the production of cellulosic ethanol. R&D explorations into the development of technologies that can convert biomass materials to ethanol more efficiently also are underway. It is expected that cellulosic ethanol will be in supply from 2020 and that, by 2030, its use will have effectively reduced Korea's total gasoline consumption by 10%.

Biogas is a viable alternative for supplying clean and sustainable energy. Despite all manner of policy measures introduced by the Government of India, biogas is not widely used in India. This article tries to identify factors that influence the decision to adopt biogas at household level. We examine a conceptual framework empirically in which a household wants to maximize utility from biogas by using the India Human Development Survey (IHDS) I, which is a nationally representative, multi-topic survey. By applying both maximum likelihood and penalized likelihood methods (Firthlogit) of logistic regression on a sample size of almost 10,384 households, it has been found that wealthy people are more likely to adopt biogas compared to the marginalized section of the society. We recommend more inclusive policy measures for the weaker section of the society to create an enabling environment to make it a self-promoting technology.

Improving access to safe drinking water can result in multi-dimensional impacts on people's livelihood. This has been aptly reflected in the Millennium Development Goals (MDG) as one of the major objectives. Despite the availability of diverse and complex set of technologies for water purification, pragmatic and cost-effective use of the same is impeding the use of available sources of water. Hence, in country like India simple low-energy technologies such as solar still are likely to succeed. Solar stills would suffice the basic minimum drinking water requirements of man. Solar stills use sunlight, to kill or inactivate many, if not all, of the pathogens found in water. This paper provides an integrated assessment of the suitability of domestic solar still as a viable safe water technology for India. Also an attempt has been made to critically assess the operational feasibility and costs incurred for using this technology in rural India.

Abstract Natural resources exist independent of human intervention. Although these interventions can and do affect the balance between ecological and biological diversity conditions these resources support, and their use to promote economic development. Currently, the unsustainable use of these resources threatens this balance, calling for more sustainable patterns of natural resource use and conservation. The primary responsibility for ensuring the proper balance lies with governments, leading to various policies and programs to preserve natural resources. The ultimate goal is to make the masses aware of natural assets’ importance and encourage their sustainable use. To successfully implement, however, these government practices require public communication and participation, and the full consideration of public opinion at various levels of governance. A predictive analytics framework is proposed for understanding public opinion on government policies to improve sustainable water governance. An integrated policy initiative to balance water resources use and conservation launched by the Indian government served as a test case for applying the framework in an attempt to accurately classify the opinion polarity related to the policy. The conventional feature extraction is applied to pre-processed datasets to extract the relevant features. Subsequently, swarm-based feature selection is applied to filter out optimal features. Lastly, opinion mining and textual analysis are performed to determine the most relevant water management factors that need immediate attention. The proposed framework serves as a policy evaluation strategy in the water management domain. The paper closes with a discussion of the general applicability of the proposed framework.

Abstract In this study, dimethyl adipate, an organic ester, as the phase change material (core) was microencapsulated into melamine-formaldehyde (shell) in different shell-to-core ratios using in-situ polymerization technique. The microencapsulated phase change material suspensions (MPCMS) were prepared through the dispersion of microcapsules in appropriate proportions into the carrier fluid. The surface morphology of the prepared microcapsules were observed to be almost spherical. The microcapsules with low crystallinity offered greater resistance towards crack, which was attributed to the flexible structure of the shell. Surface structure studies has confirmed the chemical stability between the core and shell. In addition, the microcapsules exhibited good latent heat enthalpy of around 53 kJ/kg and 70 kJ/kg and they were thermally stable up to 160 °C. Furthermore, the viscosity of MPCMS was found to be very low, which enabled them to exhibit Newtonian flow behaviour. Thus, the test results have signified the MPCMS to be considered as a viable candidate for cool thermal energy storage application.

Fruit and vegetable marketplace waste (FVMW) is an appealing alternative for energy production and should be utilized as a single substrate in anaerobic digestion (AD)–based biogas plants at an industrial-scale level in subtropical climatic countries. India alone generates 961,000 tons of FVMW annually from the major fruit and vegetable markets (FVMs). Utilization of FVMW to produce useful energy by AD could be helpful in meeting the ever-increasing energy demands of these countries. AD of fruit and vegetable waste (FVW) by two-phase systems has revealed good results in terms of stability, performance, and biogas generation; however, innovative approaches like plug flow tank reactor (PFTR) with passive solar heating with no mixing and no energy heating coupled with heat balance models and resistance network–based heat balance models need to be researched for subtropical climatic conditions in order to optimize the economics and energy balance of an AD system. Food waste and slaughter house wastes could be utilized successfully as co-substrates with FVW. C/N ratio is a critical performance parameter in the AD systems involving co-substrates; however, the synergistic relationship among co-substrates and characteristics, viz., macro- and micronutrients of individual co-substrates, must be investigated to improve the AD process. The optimum proportions of co-substrates could be determined by individual substrate characterization, biomethanation potential (BMP), and biodegradation kinetic models, thereby saving time and money as compared with random experimentation. Thermal, ultrasonic, and electrical pre-treatment in addition to physical pre-treatment could be effectively used for pre-treating FVW; however, synergy between co-substrates and pre-treatment method must be researched in order to justify the increased cost in extra pre-treatment.

The key issues with non-renewable energy resources are the harmful pollutants they produce. They also pose serious threat to human life and lead to severe atmospheric devastation. Hence, they become non-viable for future generations. With the innovation of fuel cell technology, these difficulties are wiped out. Fuel Cell technology is considered as the most efficient and environmental friendly type of energy production. Among the different types of fuel cells, Proton-Exchange Membrane Fuel Cell (PEMFC) is the most distributed type and are widespread in the market, because of its lower operating temperature, reliable performance to frequent load changes, higher efficiency and good power density. This work primarily focuses on the dynamic modeling and simulation of PEMFC. A voltage model for PEMFC is developed based on experimental data. Estimation of the system model is done by using system identification toolbox in MATLAB. Validation of the estimated model is performed by comparing the estimated model response with first principle nonlinear PEMFC model and with a different real time data.

Renewable energy-based off-grid projects have played a crucial role in Sri Lanka’s universal electrification effort. The paper, in this context, unravels two crucial and quite interrelated aspects of decentralised off-grid electrification in the country: a) it critically analyses the off-grid electricity sector development and assesses its contribution to the universal electrification in the country and; b) it examines the current set of challenges associated with the off-grid electrification in the larger context of massive grid expansion. A mix of quantitative and qualitative research methods is employed as tools of analysis. The paper brings out several policy-relevant findings. Strategic policy interventions coupled with targeted policy goals, robust community-centric management structures, well-designed credit systems, and well-structured capacity-building initiatives are identified as key leveraging points for the success of off-grid electrification projects. The techno-economic analysis of an existing micro-hydro project reveals that there exist opportunities for more productive use of existing capacity. Grid interconnection of off-grid energy projects emerges as a major challenge beset with a whole gamut of technical, legal, regulatory, financial, and social conundrums. Interestingly, the intensity of such challenges differs across ownership types.