Search results

This study aims to identify and gauge the sustainability indicators (SUSIs) for sustainable Hydroelectric Power (HEP) project development. It examines major SUSIs under the social, economic and environmental (SEE) fronts and categorizes them under push and pull impacts which helps to identify challenges and opportunities associated with projects. Additionally, the study calculates an empirical sustainability index (SI) to assess the sustainability level of HEP. Finally, the study suggests mitigation measures across stakeholders, which will optimize government/developer/investor investments.

This paper examines the interaction of sustainable HEP development with SUSIs using Uttarakhand as a study area. Additionally, SI has been developed quantitatively. For the indicator classification, the authors conducted a literature review and secondary survey of all affected parties, including investors, developers, NGOs and villagers. The fuzzy logic theory (FLT) is used to determine the SI of the study area and classify projects in their level of sustainability. On the basis of expert opinion and literature review, mitigation measures are proposed across stakeholders.

The authors found that there is a mixed effect of SUSIs on HEP development across various projects in Uttarakhand. Furthermore, the authors suggest that index-based assessment and planned collaboration play a significant role in sustainable HEP development. Mitigation measures should be suggested to all affected stakeholders based on specific project issues, i.e. collaborations, training, public awareness campaigns, and initiatives by the government that would improve sustainability conditions.

In addition to supporting the ongoing and upcoming initiatives launched by the Government of India, including the Green Energy Corridor, independent power producers (IPPs); and the India-Renewable Resources Development Project with IDA and participates in Net zero target.

The structured, sustainable HEP planning suggested in the study will help to conserve society, economy, save resources and in parallel reduce the cost and time of developers and policymakers. This will also help to improve the socioeconomic status of the villagers and prolong the life of the project.

The innovative SI-based push-pull approach identifies a sustainable HEP project planning.

The study aims to identify the severe socioeconomic, environmental, and ecological impacts caused by the construction of mega and large hydro-power plants in Uttarakhand, India. In addition to identifying the attributes, the study creates an integrated index that will assist in the development of sustainable hydro-power.

The methodology used for this impact identification was based on extensive literature review, focused expert discussions and further validation through a primary survey among the stakeholders in the hydropower sector. The sustainability index (SI) was estimated using the fuzzy logic theory.

The study area SI shows that few projects are in extreme zones, and through suggestive measures, few project sites can be made viable for long-term sustainable project site. A Hydropower Sustainability Assessment Protocol–based conceptual model is also proposed for mitigation of impacts.

Hydropower plays an essential role in access to cleaner and cheaper sources of energy; it defines the usage of water resources toward inflation-free green energy and holds spectacular operational flexibility. Despite the significant advantages associated with hydroelectric power projects, there are adverse side effects as well. The water-based power sector industry contributes to any nation through both economic and environmental ways. Although one-third of the power business in India is carried out through water-based hydropower projects, recent trends in water-based hydropower projects show significant socioeconomic and environmental impacts that create a debate about the sustainability of these projects.

This is a survey paper of the recent literature on the application of semiparametric–econometric advances to testing for functional form of the environmental Kuznets curve (EKC). The EKC postulates that there is an inverted U-shaped relationship between economic growth (typically measured by income) and pollution; that is, as economic growth expands, pollution increases up to a maximum and then starts declining after a threshold level of income. This hypothesized relationship is simple to visualize but has eluded many empirical investigations. A typical application of the EKC uses panel data models, which allows for heterogeneity, serial correlation, heteroskedasticity, data pooling, and smooth coefficients. This vast literature is reviewed in the context of semiparametric model specification tests. Additionally, recent developments in semiparametric econometrics, such as Bayesian methods, generalized time-varying coefficient models, and nonstationary panels are discussed as fruitful areas of future research. The cited literature is fairly complete and should prove useful to applied researchers at large.

Because of its increased absorptance in fluid and reduced heat loss, direct absorption nanofluid (DANF) is receiving intense interest as an efficient way to harvest solar energy. This work aims to investigate, for the first time, the application of DANF in parabolic trough collectors (PTC), a promising collector for solar thermal systems.

A representative flow and heat transfer study of different fluids in a straight tube is conducted, and the basic energy equation and radiative transfer equations are numerically solved to obtain the fluid temperature distribution and energy conversion efficiency. Ethylene glycol (EG) and different concentrations of (i.e., 0.1-0.6 per cent) multi-wall carbon nanotubes (MWCNT) in EG are used as sample fluids. Four cases are studied for a traditional PTC (i.e., using metal tube) and a direct absorption PTC (i.e., using transparent tube) including a bare tube, a tube with an air-filled glass envelope and a tube with vacuumed glass envelop. The numerical results are verified by an experimental study using a copper-glass absorber tube, which reveals the good potential of DANFs.

Compared with a conventional PTC, using DANF shows an increase of 8.6 per cent and 6.5 K, respectively, in thermal efficiency and outlet temperature difference at a volume fraction (0.5 per cent) of nanoparticles. The results also show that the improvement in solar efficiency increases with increasing particle concentrations, and the vacuum insulated case has the highest efficiency.

In all previous studies, an important section was missing as the effect of photons on the direct solar absorption trough collector, which is considered in this study. This paper proposes a new concept of using direct solar absorption nanofluids for concentrated solar collectors and analyzes the performance of both absorptance and transmittance efficiency considerations. To reveal the potential of the new concept, an analytical model based on energy balance is developed, and two case studies are performed.

The employees in an organisation are its eyes and ears, and their willingness to contribute with observations is essential to the internal information sharing. Literature suggests that an information system (IS) that is not used must be redesigned to suit the users. This article argues that malfunctioning IS might be understood from a management control perspective, i.e. that the employees rather choose to engage in other duties than documenting and retrieving information from an existing IS. They perceive such ditties as more valuable to them and to the organisation, which results in low utilisation of the systems. Managerial interventions can, however, stimulate data entry and asynchronous communication between individuals by manifesting that information sharing is an important organisational issue through agreement on objectives, performance monitoring and evaluation, feedback mechanisms and analysis and action plans.

This study aims to gauge the effect of rural–urban migration and its challenges on the urban development of Bengaluru. This study examines the driving forces behind urbanization and its impact on social, economic and environment areas. The research helps to establish the sustainable city planning, after evaluation of specific challenges of zones, and this mitigation will optimize government investment and reduce cost.

Bengaluru is used as a study area to examine the interaction of migration and urban development. The study covers the period between 2011 and 2019. Panel data analysis is applied to measure the effect of urban development indicators on urban migration. The authors applied the integrated urban metabolism analysis tool to quantify the urban development indicators and identified the most critical areas for migrants. Later, authors proposed mitigation measures based on alternate scenario approach.

The authors found that there is a mixed effect of urban migration on urban development across various zones in Bengaluru. Besides, the authors suggest how planned collaboration should play a significant role in urban planning and optimize city planning judiciously. Effective mitigation measures should be developed based on zone-specific core issues, and practical trainings, research, public awareness campaigns and skill up-gradation of migrants would enhance the socio-economic and environmental conditions.

The study will support the ongoing and upcoming initiatives launched by the Government of India i.e. Awas Yojna, Atmanirbhar Bharat and Swach Bharat.

The structured city planning suggested in the study will help to save wastage of resources and cost and time of developers and policymakers. This will also help to upgrade the status of migrants and enhance the ambience of city around social, economic and environment fronts.

The first of its kind of innovative model mapped in the study area establishes a link between strategic city planning under rural–urban migration and urban development.

The purpose of this paper is to investigate the potential roles for service robots (i.e. socially assistive robots) in value networks of elderly care. Taking an elderly person’s perspective, it defines robot roles according to their value co-creating/destroying potential for the elderly user (i.e. focal actor), while acknowledging consequences for a network of users around the elderly (i.e. network actors).

This qualitative, interpretative study employs in-depth phenomenographic interviews, supported by generative cards activities (i.e. Contextual Value Network Mapping), to elicit an elderly person’s tacit knowledge and anticipate the effects of introducing an automated actor on institutionalized value co-creation practices.

The proposed typology identifies six roles of socially assistive robots in an elderly person’s value network (enabler, intruder, ally, replacement, extended self, and deactivator) and links them to three health-supporting functions by robots: safeguarding, social contact, and cognitive support.

Elderly people have notable expectations about the inclusion of a socially assistive robot as a new actor in their value networks. The identified robot roles inform service scholars and managers about both the value co-destruction potential that needs to be avoided through careful designs and the value co-creation potential that should be leveraged.

Using network-conscious phenomenographic interviews before the introduction of a novel value proposition sheds new light on the shifting value co-creation interplay among value network actors (i.e. elderly people, formal and informal caregivers). The value co-creation/destruction potential of socially assistive robots and their corresponding roles in care-based value networks offer insights for the design of meaningful robotic technology and its introduction into the existing service networks.

This study aims to explore the idea of solving the problem of squeezing nanofluid flow between two parallel plates using a novel mathematical method.

The unsteady squeezing flow is a coupled fourth-order boundary value problem with flow velocity and temperature as the desired unknowns. In the first step, the conditions that guarantee the existence of a unique solution are obtained. Then following Green’s function-based approach, an iterative method for solving the problem is developed.

The accuracy of the method is examined by comparing the obtained results with existing numerical data, indicating excellent agreement between the two. In addition, the effects of nanoparticle shape and volume fraction on the flow and heat transfer characteristics are addressed. The results reveal that although the nanoparticle shape strongly affects the temperature distribution in the squeezing flow, it only has a slight impact on the velocity field. Furthermore, the highest and lowest Nusselt numbers belong to the platelets and spherical nanoparticles, respectively.

A semi-analytical method with computational support is developed for solving the unsteady squeezing flow problem. Moreover, the existence and uniqueness of the solution are discussed for the first time.