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Green hydrogen can be the transitional solution required to reduce anthropogenic emissions and enhance energy independency from fossil fuel. To improve green hydrogen adoption, a cluster-based infrastructure, called a hydrogen hub, is devised taking into account the demand-supply interplay coupled with transport ease. In this paper, we have identified sites across states that are conducive for hydrogen hubs. It involves a multicriteria decision-making (MCDM) framework deployed to assign priorities within competing set of criteria. A comprehensive analytical hierarchy process (AHP) is used to rank criteria that are connected to establish a functioning hydrogen hub. These criteria include, but not limited to, proximity to refineries, fertilizer plants, substations, chlor-alkali units, steel manufacturing plants, water availability, access to gas pipelines, railway line access, and finally distance to highways. Our analyses indicate that proximity to refineries and fertilizers scored higher (scores directly proportional to importance) while railway line access scored the least. These prioritised scores are used to spatially locate sites using geographical information system. In a total of thirteen states identified, Gujarat had the largest parcel of most suitable land for setting up hydrogen hub followed by Maharashtra and Andhra Pradesh. For India to set up a functioning hydrogen economy and achieve green hydrogen goals, it is important to identify states that can drive the agenda forward. This paper illustrates a way (amongst many available ways) to identify states based on their strength and capability to fulfil the national goal of 5 million tons of green hydrogen by 2030. • The paper addresses setting up of green hydrogen hubs in India based on a multi-criteria site selection framework. • Nine selection criteria covering aspects of hydrogen ecosystem proposed to identify site(s) suitable for hydrogen hubs. • Integration of AHP and GIS is used to ascertain land parcels where hydrogen economy can sustain across states in India. • Zones in 13 states were identified as potential hydrogen hubs. [ABSTRACT FROM AUTHOR]

Abstract This paper analyses relationships between private supplementary tutoring and mainstream schooling in urban Maharashtra, India. The role of private tutoring progressively expands from the lower to the higher grades, and is especially visible in Classes 11 and 12 when it seems to supplant rather than supplement mainstream schooling. The paper notes the complex interplay of social, economic and educational factors in the shifting relationships, and has relevance not only for other parts of India but also other countries. The dynamics of private tutoring should be considered when conceptualising educational processes and devising policies for schooling, especially in relation to social inequalities and the efficiency of school systems. [ABSTRACT FROM AUTHOR]

We used Microsoft XL optimizer and Particle Swarm Optimization to find optimized integrated combinations of RES. Thermal energy demand data is generated for a midtownand found highest requirement of hot water and cooking heat. Solar water heaters, biogas and biomass gasifier are the most promising RES technologies to satisfy the thermal energy demand of a midtown. To reduce the dependency on fossil fuels, the renewable energy systems must be utilized in an interactive manner and need to be optimized. Currently, the thermal energy demand of any city is mostly satisfied by the conventional resources. It produces considerable strain on fossile fuel reserves and lead to increase green house gas emissions also. The thermal demand of city can be satisfied by integrative use of renewable energy resources. This integrative use needs modelling and optimization. In this paper, optimised combinations of three renewable energy systems, such as solar water heating systems, biomass gasifiers and biogas energy systems are presented to satisfy the thermal demand of a region. A Microsoft excel optimizer software is used to solve the multiobjective optimization problem to find the optimum combinations. Minimization of lifecycle cost and CO 2 emission are considered as main two multiobjectives. Particle Swarm Optimization (PSO) algorithm is utilized to solve the constraint optimization problem. The thermal energy demand satisfaction of Kolhapur city, a midtown city, in western Maharashtra, India, is taken for case study. The daily average thermal energy demand of one day for each month is satisfied in this case study for the whole year. [ABSTRACT FROM AUTHOR]

This paper examines the wari as a discursive terrain produced by the interface of folk and Hinduised cultures. We focus on socio-religious interactions and divergences as crucial sites for the production of a discourse on the economy of worship, devotion and social equality. Popularly understood as a procession to Pandharpur, wari is understood here as a social force mediating the transmission of ideas and practices through the interface of various publics. We interpret wari as a process generated through the reflexivity of productive castes interacting with Brahminical Hinduism, and the articulation of social ethics reflecting specific realities and aspirations of allied communities with an emphasis on worldly relationships. The wari's grammar of devotion subverts abstract notions of the spiritual by embedding them in the local and everyday. Its emergence from regional counter-hegemonic agitations reflects the existential crises and agency of Maharashtra's productive castes, and the instrumentality of local parlance in demystifying Brahminical representations of society. The term discursive comprises a vocabulary of devotion addressing cultural material alienation, social disparity, agency and the formation of intentional publics in constituting sites for social reform. This paper relies on field data and existing literature to consolidate its argument. [ABSTRACT FROM AUTHOR]

Abstract: Mini-Hydro power generation could be planned on small-scale on existing small rivers, canals etc. as it could be beneficial in utilization of all existing water reservoirs and streams so as to generate hydro power which is renewable in nature. By this, they do not encounter the problems of rehabilitation of people and environmental problems associated with the large hydro power plants. This paper presents the case study of two potential sites namely Shahnoor and Purna in Vidarbha region of Maharashtra State in India. Here, the hydrological data of a potential site for nearly sixty years is obtained and is thoroughly studied for possible development of mini hydro power plant. The basic parameters those are to be included in feasibility report which is to be prepared for every proposed hydroelectric project are also mentioned. This paper could be well utilized for planning and irrigating land in and around rural areas. [Copyright &y& Elsevier]

Abstract: Recognizing the failure of past interventions to provide water services to all citizens in developing countries, worldwide a reform process of water policies has been initiated. The Indian State of Maharashtra is a front-runner in formulating and implementing such a reform policy. Its policy aims at demand-led, participatory and democratic decision-making for project implementation (as distinct to the previous supply-driven policies). This paper evaluates the success of this reform policy for 12 villages of the Deccan Plateau in Maharashtra. There, these projects were implemented under two funding programs of different donors that implemented the reform policy through different guidelines. The paper confirms that promoting bottom-up decision-making supported by capacity building can lead to better outcomes. However, it also highlights several risks, which may be mitigated by selective top-down control mechanisms. Hence, a combination of bottom-up and top-down decision-making may lead to best results. [Copyright &y& Elsevier]

Abstract: The paper is an announcement of the recent discovery of a small and yet well-preserved skeletal assemblage belonging to nilgai (Boselaphus tragocamelus) and an equid in Pleistocene alluvial deposits that have also preserved the acidic volcanic ash and Stone Age artefacts at the banks of River Karha near Morgaon in District Pune. Only 15 postcranial elements, a ramus with two lower teeth and an isolated upper tooth comprise the fossil record. The state of preservation reveals interesting clues to its taphonomic history, pointing to the semi-primary context of deposition. Systematic palaeontology and a brief taphonomic history of the assemblage are discussed in the paper. [Copyright &y& Elsevier]

In the mid-1980s, the state government of Maharashtra, India, introduced a slum redevelopment strategy in its capital city, Mumbai (Bombay). In contrast to traditional housing improvement strategies that focus primarily on legalizing the land tenure of residents, slum redevelopment is a more complex strategy. It involves the demolition of existing slums and the redevelopment of new, higher density, medium-rise apartment blocks, including, entirely cross-subsidized housing for the original slum dwellers. Mumbai''s experience, documented through a single case study in this paper, illustrates that contrary to the conventional focus only on private property rights, upgrading policy must be based on a differentiated view of property rights. Furthermore, policy must also consider the property values, the physical attributes of the real property (underlying asset), and the interplay among property rights, property values and physical attributes. Second, the paper demonstrates that under certain conditions, there is a constituency among slum dwellers for complex initiatives, like redevelopment. This suggests that planners should be skeptical about popular, simplistic myths regarding low-income housing preferences. However, slum redevelopment''s slow pace also implies that planners need to be cautious in their enthusiasm for redevelopment. [Copyright &y& Elsevier]

[Display omitted] • Indian electricity demand reduced by 11 % vis-à-vis 2019 during the lockdown. • Sectoral demand reduction—73 % industrial, remaining 27 % commercial. • Pan India lights-off event—hydropower provides the bulk of the flexibility (60 %). • The plant load factor of coal dropped to a record low of 35 % during phase-1. • Power sector emissions reduced by 16 % (86 MtCO2) compared to 2019. This paper aims to understand the responsiveness of the power sector during the lockdown due to the COVID-19 pandemic beginning from March 25, 2020 and analyses its impact on the demand, operation and supply of electricity in the Indian power system. The role of the C&I load share in reducing the electricity demand of the different states in India has been examined using multi-sectoral regression analysis. The impact of the pan India lights-off event on the short-term operational flexibility response of the power system has also been analysed using high-temporal resolution data. The results indicate that there has been a reduction of nearly 70 TWh of electricity demand during the lockdown period, an 11 % reduction compared to 2019. The top three states recording the highest reduction were Maharashtra, Gujarat and Tamil Nadu at 11 TWh, 10.6 TWh and 8.4 TWh, respectively. Regression analysis revealed that out of the total drop in load demand — 73 % is owed to the industrial sector, while the remaining 27 % is to the commercial sector. This demand drop also impacted the upstream electricity supply mix where 96 % of the reduction in supply was borne by the coal generating units, recording its lowest national plant load factor at 35 % with a 16 % reduction in overall CO 2 emission compared to the same period in 2019. In conclusion, a case study of Maharashtra has been used to analyse the impact of this reduction in electricity demand on the supply mix, hourly load profile and cost of supply under the different lockdown phases. [ABSTRACT FROM AUTHOR]

Abstract: The growth potential of any state is linked with infrastructure and electricity infrastructure is the most important parameter for economic growth. Maharashtra, a prominent state in India consumes 12 per cent of India''s electricity. Maharashtra''s power sector is facing the electricity deficit and shortage since early 2005. On the other hand, industrial and service sectors are rising in the state. The present paper discusses electricity situational analysis of the state. Electricity demand analysis has been presented and comparison of state electricity demand vis-à-vis Mumbai''s demand (state capital) has been carried out for two years. Variation for monthly average demand for two years and load shedding have also been analyzed. Power supply situation analysis and analysis of major power suppliers have been carried out. The State Load Distribution Center data is used to depict the load variation for a typical day. Interventions needed to sustainably meet the growing demands are also discussed. [Copyright &y& Elsevier]

Abstract: In this paper, the parameter-wise optimization training process is implemented to achieve an optimal configuration of focused time lagged recurrent neural network (FTLRNN) models by embedding the gamma, laguarre, and multi-channel tapped delay line memory structure. The aim is to examine the prediction ability of the proposed models in order to predict one-day-ahead electric power load simultaneously as usual to oppose 1–24h forecast in sequel with a special emphasis on seasonal changes over a year. An improved delta-bar-delta algorithm is used to accelerate the training of neural networks and to improve the stability of the convergence. Experimental results indicate that the FTLRNN with time delay neural network (TDNN) clearly outperformed the gamma and laguarre based short-term memory structure in various performance metrics such as mean square error (MSE), normalized MSE, correlation coefficient (r) and mean absolute percentage error (MAPE) during evaluation process. Empirical results show that the proposed dynamic NN model consistently performs well on daily, weekly, and monthly average basis in terms of prediction accuracy. It is noticed from the literature review that an optimally configured FTLRNN with multi-channel tapped delay line memory structure is not currently available to solve short-term electrical power load prediction. The proposed method gives acceptable errors in all seasons, months and on daily basis. The average prediction error on three weeks is obtained as low as 1.67%. [ABSTRACT FROM AUTHOR]

This paper explicates the role of community-level intermediaries in post-liberalized economic sectors. Focusing on nascent commercial markets for improved, smokeless cookstoves in southwestern Maharashtra, I describe how development is encountered by three analytic groups – artisans, female stove users and NGO field officers. This study highlights patterns of strategic intermediary action, or forms of brokering, used to negotiate the commercialization process for individuals involved in the fabrication, distribution and use of improved cookstoves. A close analysis of the mediating agent can strengthen theories on how individuals and communities encounter sector privatization and state retrenchment. This study reveals a diverse set of brokering activities and actors, and shows how intermediaries combine tasks associated with traditional conceptions of the political fixer and market broker by working within and between groups of market, village and state operatives to transform market supply chains. Mediating agents coordinate counter regulating activities within civil society in the absence of heavy state intervention and play a crucial role in activating and connecting community interests to latent neoliberal state resources. [Copyright &y& Elsevier]

Conventionally, measurement of cost of children by iso-prop method [Int. Stat. Inst. Anal. 9 (1895) 1] involves equating budget share on food of the two households compared. In this paper we use an alternative necessary commodity, viz., adult good (as suggested by Blackorby and Donaldson [The Measurement of Household Welfare, Cambridge University Press, Cambridge (1994)]) in place of food and measure the relative cost of a child using iso-prop method in a single equation framework as well as in a demand system framework. The demand system, proposed herein, is a rank-two Quadratic Logarithmic (QL) system. Household level consumption expenditure data for the rural sector of Maharashtra, India, are used in this study. The results indicate that the nature of the commodity along with the effect of children on consumption of that particular commodity, plays a major role in determining child cost. [Copyright &y& Elsevier]

• Large on-site survey to provide real-world investment data of 108 iron-steel plants. • Agent-based integrated assessment framework to assess industry fuel-switching. • Fuel-switching assessment including 4 investment metrics and 5 comparable scenarios. • Partial-equilibrium agent-based scenarios of an evolving socio-technical system. • Partial-equilibrium agent interactions produce non-smooth gas uptake patterns. This paper presents the formulation and application of a novel agent-based integrated assessment approach to model the attributes, objectives and decision-making process of investors in a long-term energy transition in India's iron and steel sector. It takes empirical data from an on-site survey of 108 operating plants in Maharashtra to formulate objectives and decision-making metrics for the agent-based model and simulates possible future portfolio mixes. The studied decision drivers were capital costs, operating costs (including fuel consumption), a combination of capital and operating costs, and net present value. Where investors used a weighted combination of capital cost and operating costs, a natural gas uptake of ~12PJ was obtained and the highest cumulative emissions reduction was obtained, 2 Mt CO 2 in the period from 2020 to 2050. Conversely if net present value alone is used, cumulative emissions reduction in the same period was lower, 1.6 Mt CO 2 , and the cumulative uptake of natural gas was equal to 15PJ. Results show how the differing upfront investment cost of the technology options could cause prevalence of high-carbon fuels, particularly heavy fuel oil, in the final mix. Results also represent the unique heterogeneity of fuel-switching industrial investors with distinct investment goals and limited foresight on costs. The perception of high capital expenditures for decarbonisation represents a significant barrier to the energy transition in industry and should be addressed via effective policy making (e.g. carbon policy/price). [ABSTRACT FROM AUTHOR]

• Non-dietary pathways can potentially address micronutrient outcomes for women. • Women's iron status improves with higher empowerment levels in agriculture. • Women's minimum dietary diversity score is unable to reflect iron status. • Detailed data on blood tests fills the gap for reliable iron estimates in India. In this paper we study the relationship between women's empowerment in agriculture and their iron deficiency status in Maharashtra, India. This is the first time the Women's Empowerment in Agriculture Index (WEAI) has been used in association with explicit measurement of medical biomarkers for women's iron deficiency status. Using primary data for 960 women we find that the log odds of a poor iron status in women decline as women's empowerment levels in agriculture improve. Further, this decline is seen in the presence of multiple dietary diversity measures (dietary diversity score, share of rice and wheat in the diet, total iron intake and iron intake from iron-rich food groups – all for 24-h and 30-day recalls) suggesting that in addition to dietary pathways women's empowerment can play a role in addressing micronutrient deficiencies like those of iron in a vulnerable sub-group of the population. It also reinforces the need to move away from the 'staple grain fundamentalism' that has characterized agricultural policy in India, towards more nutrition-sensitive food systems. [ABSTRACT FROM AUTHOR]