Harvesting Technology Research Articles

Driving Wi-Fi IoT Sensors by a Hybrid Magneto-Mechano-Electric Energy Generator Extracting a Power of over 50mW.

Energy harvesting technology is mainly used as a power source for driving Internet of Things (IoT) devices. However, the output power of conventional harvesting devices are limited, suitable only for low-power-consumption IoT sensors based on Bluetooth communication. In contrast to Bluetooth, wireless fidelity (Wi-Fi) communication offers superior real-time monitoring and transmission capabilities, but requires more power in the range of hundreds of milliwatts or higher. Therefore, the hybridization of three energy conversion devices, namely, piezoelectric magneto-mechano-electric (MME) generator, electromagnetic (EM) induction coil, and triboelectric nanogenerator (TENG) is proposed as a standalone power source for Wi-Fi communication sensors. By integrating these three mechanisms, the hybrid MME energy harvester can achieve an output power exceeding 50mW at the second harmonic resonance condition under the alternating current (AC) magnetic field of 10Oe. Furthermore, it can successfully drive the Wi-Fi sensor, enabling continuous real-time monitoring without the degradation of charged power in a supercapacitor. These results highlight that energy harvesting technology is not limited to low-power devices but can also be applied to Wi-Fi communication sensors and beyond.

Role of Inter‐Particle Connectivity in the Photo‐Carrier Cooling Dynamics in Perovskite Quantum Dot Solids

AbstractIntraband carrier relaxation in quantum dots (QDs) has been a subject of extensive spectroscopic investigation for several decades, and have been used to optimize the efficiency of opto‐electronic processes. In the past few years, metal halide perovskites‐based QDs have been shown to exhibit slow hot‐carrier cooling characteristics that are desirable for photo‐energy harvesting technologies. While several mechanisms are proposed to rationalize the retardation of the cooling dynamics, including hot‐phonon bottleneck and polaronic effects, the role of inter‐particle connectivity in these dynamics is largely ignored. Here, an in‐depth study of photo‐excitation dynamics and carrier cooling on perovskite QD solids with varying degrees of inter‐dot coupling is presented. It is observed that inter‐particle connectivity has deterministic effects on the many‐body interactions that are relevant for carrier cooling. These include carrier–carrier interactions that result in Auger‐reheating of the carriers, and lattice characteristics that subsequently affect the phonon‐assisted cooling dynamics. This spectroscopic study of ultrafast carrier dynamics in perovskite QD solids establishes inter‐dot separation as a critical material design parameter for the optimization of photo‐generated carrier temperature, which fundamentally determines the luminescence characteristics and thus the opto‐electronic quality of the material.

Advancements and Future Prospects in Ocean Wave Energy Harvesting Technology Based on Micro-Energy Technology.

Marine wave energy exhibits significant potential as a renewable resource due to its substantial energy storage capacity and high energy density. However, conventional wave power generation technologies often suffer from drawbacks such as high maintenance costs, cumbersome structures, and suboptimal conversion efficiencies, thereby limiting their potential. The wave power generation technologies based on micro-energy technology have emerged as promising new approaches in recent years, owing to their inherent advantages of cost-effectiveness, simplistic structure, and ease of manufacturing. This paper provides a comprehensive overview of the current research status in wave energy harvesting through micro-energy technologies, including detailed descriptions of piezoelectric nanogenerators, electromagnetic generators, triboelectric nanogenerators, dielectric elastomer generators, hydrovoltaic generators, and hybrid nanogenerators. Finally, we provide a comprehensive overview of the prevailing issues and challenges associated with these technologies, while also offering insights into the future development trajectory of wave energy harvesting technology.

Application Of Piezoelectric Energy Harvesting At Airports: Energy Sources, Materials And Design

Airports have many areas with intensive activities that can be potential sources for Piezoelectric Energy Harvesting because airports are places that produce much mechanical energy that has not been realized. This mechanical energy comes from various sources, such as passenger and visitor traffic, vehicle movement, elevator and conveyor use, and aircraft activity on runways and taxiways. The research methodology used is a Literature Review. This article reviews the factors that affect PEH, namely energy sources, materials, and design, and it is a literature study article related to smart airport technology. This article aims to establish hypotheses of influence between variables as a reference for further research. This literature review article will produce: 1) Energy source affects Piezoelectric Energy Harvesting; 2) Materials affect Piezoelectric Energy Harvesting; and 3) Design affects Piezoelectric Energy Harvesting. This research will produce a deeper understanding of the potential mechanical energy utilized at airports and how energy harvesting technology can be applied to optimize these mechanical energy sources. Hopefully, this article will provide an overview of designing Piezoelectric Energy Harvesting suitable for airports.

Performance of A Triboelectric Nanogenerator Utilising Coconut Husk Layer

Triboelectric nanogenerators, known as TENGs, offer great potential as versatile energy harvesting devices. In recent years, there has been a rise in TENG designs that prioritize compatibility with sustainable biomaterials, leading to new possibilities in green technology. The novelty of this work lies in its pioneering exploration of utilizing sustainable biomaterials, particularly coconut husk, within the field of Tribo-electric nanogenerators (TENGs). This study focuses on evaluating and characterizing coconut husk as TENG material considering factors such as rotational speed, vane count, and coarseness, all of which influence the output potential of the B-TENG. The B-TENG model employed in this research operates on a rotational sliding mode, featuring a biobased material layer of coconut husk, a layer of PTFE, and copper as electrodes. The B-TENG has a diameter of 100 mm with varying vane configurations (3-vane, 4-vane, and 5-vane). The sliding mode demonstrated impressive versatility, yielding output voltages spanning from 0.73 V to 4.0 V across rotational speeds of 200 RPM to 1400 RPM. Remarkably, the 5-vane fine-grained coconut husks achieved a maximum power of 121.10 mW at 10 Ohm and a power density of 3.84 mW/cm2. This research carries global significance, contributing to the advancement ofenergy harvesting technology. Its applications range from harnessing the motion of human bodies to rotating machineries in any industry.

Elastic contribution of polymeric fluids augments salinity-gradient-induced electric potential across a microfluidic channel

HypothesisHarnessing electrical energy from salinity gradients, particularly for powering micro and nanoscale devices, has become a focal point of recent research attention, due to its renewable and biocompatible nature. Much of the reported research in that direction revolves around optimizing the membrane architecture and the charge distribution to maximize the induced electric potential, with no particular emphasis on the fluid rheology. However, many of the modern miniature systems, typically the bio-inspired ones, concern fluids with complex rheological characteristics, where the results for Newtonian solvents may not trivially apply. Here, we hypothesize that the interplay between interfacial electro-mechanics and the fluid rheology can influence the effectiveness of salinity-gradient-modulated electrokinetics significantly – an aspect that has largely remained overlooked. Theory and experimentsHere we report the first experiments supplemented by a theoretical model that unveil how that the addition of polymers in a solvent modulates the salinity gradient – induced electric potential in a microfluidic channel. Our theoretical framework considers the simplified Phan-Thien Tanner (sPTT) constitutive model, which represents the viscoelastic characteristics of fluids. Experiments were conducted with combined pressure driven and salinity gradient driven flow through microchannel involving dilute solutions of polyethylene oxide (PEO) of different molecular weights and concentrations to successfully validate the theoretical approach. FindingsOur findings indicate that the induced electrical potential increased non-linearly with the saline concentration ratio across the microchannel, as compared traditional linear response. Our results demonstrate how the elasticity of fluid may enable realizing an optimal benefit to this effect, by arresting the viscous resistance and uplifting the elastic response via utilizing polymeric inclusions of high relaxation times. These results provide specific insights on preferential windows of augmenting the induced streaming potential by harnessing the viscoelastic nature of the solution and the imposed salt concentration, bearing critical implications in miniature energy harvesting and desalination technology.

Factors Affecting Rainwater Harvesting Practices: In Case of Assosa Town, Upper Blue Nile Basin, Northwestern Ethiopia

In many parts of the world, conventional water supplies do not exist, are unreliable or prohibitively expensive. Many actual or potential water shortages can be alleviated if the practice of rainwater harvesting becomes widespread. A study was conducted to evaluate the factors affecting rainwater harvesting practices in Assosa city. The reason for starting the research is that the municipality of Assosa suffers from a severe water shortage, especially at the end of the dry season. The study involved 99 randomly selected respondents and purposively selected respondents using a semi-structured questionnaire. Data were collected using a combination of data collection methods including survey interviews, key informant interviews, and direct observation. The data was analyzed using descriptive statistics such as frequency tables to draw conclusions and recommendations. The results showed that lack of funding played a key role in the adoption of rainwater harvesting and, furthermore, lack of information and poor technology contributed to the failure to adopt rainwater harvesting for domestic use. It was determined that roofing materials were not a problem in the area, but storage areas and gutters hindered rainwater collection. We therefore concluded that the implementation of rainwater harvesting systems in Assosa town was hampered by the lack of resources required for the installation of rainwater harvesting systems. In addition, inadequate accesses to information, particularly for women, and lack of knowledge about the maintenance of rainwater harvesting technologies have contributed to the lack of widespread adoption of rainwater harvesting. We recommend making a conscious effort to subsidize rainwater harvesting in this area. The study also recommends strengthening municipal capacities in the area of rainwater harvesting technology, which is expected to be important for improving rainwater harvesting technology.

A succinct state-of-the-art survey on green cloud computing: Challenges, strategies, and future directions

Cloud computing is a method of providing various computing services, including software, hardware, databases, data storage, and infrastructure, to the public through the Internet. The rapid expansion of cloud computing services has raised significant concerns over their environmental impact. Cloud computing services should be designed in a green manner, efficient in energy consumption, virtualized, consolidated, and eco-friendly. Green Cloud Computing (GCC) is a significant field of study that focuses on minimizing the environmental impact and energy usage of cloud infrastructures. This survey provides a comprehensive overview of the current state of GCC, focusing on the challenges, strategies, and future directions. The review study begins by identifying important challenges in GCC from practical implementations, identifying GCC-introduced environmental protection and prevention initiatives, and expressing the demand for long-term technical progression. It then addresses GCC’s primary concerns, such as energy efficiency, resource management, operational costs, and carbon emissions, and categorizes implementations according to algorithms, architectures, frameworks, general issues, and models and methodologies. Furthermore, enhancements in virtualization, multi-tenancy, and consolidation have been identified, analyzed, and accurately portrayed to address the advancements in GCC. Finally, the survey outlines future research directions and opportunities for advancing the field of GCC, including the development of novel algorithms, technologies for energy harvesting, and energy-efficient and eco-friendly solutions. By providing a comprehensive overview of GCC, this survey aims to serve as documentation for further evolving new emerging technological approaches in the GCC environment.

Enhancement of Transverse Thermoelectric Conversion by Interface‐Induced Spin Current in Ferromagnetic Metal/Nonmagnetic Insulator Hybrid‐Structure

AbstractTransverse thermoelectric conversion phenomena including the anomalous Ettingshausen effect (AEE) and anomalous Nernst effect (ANE) in magnetic materials are actively investigated to realize versatile cooling and energy harvesting technologies. However, further improvement of the thermoelectric performance of AEE and ANE is still required, and most research efforts have focused on material exploration. Here, a new approach to improve the transverse thermoelectric conversion performance through interface engineering is reported by focusing on the transverse thermoelectric phenomena that output heat currents. A longitudinal charge current in a ferromagnetic metal Ni/nonmagnetic insulator Bi2WO6 hybrid‐structure induces a larger transverse heat current than that of AEE in a Ni single‐layer. It is indicated that the enhancement of the transverse thermoelectric conversion is due to the generation of a heat current concomitant with a spin current induced at the Ni/Bi2WO6 interface. This finding demonstrates that the interface of a magnetic metal/nonmagnetic insulator has a potential to improve the transverse thermoelectric performance, extending the applicability of nonmagnetic insulators to the field of spin caloritronics and thermoelectrics.

Application of microbubble air flotation to harvest Microcystis sp. from agriculture wastewater: The regulation and mechanisms.

The harvesting of microalgae is the main bottleneck of its large-scale biomass production, and seeking an efficient, green, and low-cost microalgae harvesting technology is one of the urgent problems to be solved. Microbubble air flotation has been proven to be an effective measure, but the mechanisms of microbubbles-algal cell attachment are still unclear. In this study, microbubble air flotation was used as a harvesting method for Microcystis cultured in agricultural wastewater. The process mechanism of microbubble air flotation harvesting microalgae in wastewater was fully revealed from three aspects (the design of bubble formation, the adhesion law, and the recovery rate of microalgae under different working conditions). The results show that the length of the release pipe is the main factor affecting the proportion of microbubbles with a particle size of less than 50 μm. In the process of adhesion, when the particle size of microbubbles is 0.6-1.7 times the size of Microcystis, the adhesion efficiency of microbubbles to Microcystis is the highest. Under the conditions of pressure 0.45 MPa, gas-liquid ratio 5%, and release pipe length 100 cm, the harvesting performance of Microcystis was the best. Microbubble air flotation has better harvesting performance (63.5%, collection rate) of Microcystis with higher density. By understanding the mechanism of microbubble flotation, the technical parameters of microbubble flotation for harvesting energy microalgae are optimized to provide support for the development of efficient and low-cost devices and equipment for collecting microalgae.

Optimized array for powering sensors: Thermal and electromagnetic energy harvesting and fusion

Environmental energy harvesting technology has achieved great success in remote sensor power supply applications. However, existing technologies in the power grid neglect the potential of weak energy sources. This study aims to optimize the most reasonable array configurations and create hybrid energy fusion schemes for different weak energy environments. Taking thermal and electromagnetic energy harvesting from cable surfaces and currents in coaxial cables as an example, this paper introduces a genetic algorithm-based optimization method of harvester array configuration under multiple constraints and a dual-source energy fusion system. First, a vector impedance parameter identification method based on the equivalent circuit model of current transformer (CT) is proposed. Later, an optimization model for harvester array is established. Then, a genetic algorithm is used to optimize array combinations. And, a dual-source energy fusion system is proposed. Finally, thermal and electromagnetic energy harvesting and fusion are performed using 3 × 1 TEGs array and 6 × 1CT array. Under the specified conditions of a hot end temperature of 50 ℃ and an effective current value of 2 A, the power supply for the Zigbee wireless sensing system is realized to monitor the temperature of the cable core.

A New Paradigm on Waste-to-Energy Applying Hydrovoltaic Energy Harvesting Technology to Face Masks.

The widespread use of single-use face masks during the recent epidemic has led to significant environmental challenges due to waste pollution. This study explores an innovative approach to address this issue by repurposing discarded face masks for hydrovoltaic energy harvesting. By coating the face masks with carbon black (CB) to enhance their hydrophilic properties, we developed mask-based hydrovoltaic power generators (MHPGs). These MHPGs were evaluated for their hydrovoltaic performance, revealing that different mask configurations and sizes affect their efficiency. The study found that MHPGs with smaller, more structured areas exhibited better energy output, with maximum open-circuit voltages (VOC) reaching up to 0.39 V and short-circuit currents (ISC) up to 65.6 μA. The integration of CB improved water absorption and transport, enhancing the hydrovoltaic performance. More specifically, MHPG-1 to MHPG-4, which represented different sizes and features, presented mean VOC values of 0.32, 0.17, 0.19 and 0.05 V, as well as mean ISC values of 16.57, 15.59, 47.43 and 3.02 μA, respectively. The findings highlight the feasibility of utilizing discarded masks in energy harvesting systems, offering both environmental benefits and a novel method for renewable energy generation. Therefore, this work provides a new paradigm for waste-to-energy (WTE) technologies and inspires further research into the use of unconventional waste materials for energy production.

Thick piezoelectric films by aerosol deposition at room temperature: corona poling and force sensing

In this study, we employed corona poling to improve the piezoelectric properties of as-deposited BaTiO3 films and conducted a vibration energy harvesting test. Dielectric measurements indicated that the dielectric constant of the as-deposited film increased with temperature, and the frequency dependence of the dielectric constant was minimal at room temperature. Applying an electric field of 1500 kV cm−1 resulted in a recoverable energy density of 7.1 J cm−3 and an energy storage efficiency of 54%. The corona polarization treatment could align dipoles under high electric fields and prevent dielectric breakdown owing to local defects created by the aerosol deposition (AD) process. The vibration test yielded a harvested energy of 172 nJ and an output voltage of 2.67 V, which is suitable for force sensor applications. Polarization via corona discharge is also feasible without an electrode. Integrating AD with corona poling may benefit new capacitors, sensors, and energy harvesting technologies.

Self‐Sustained Artificial Internet of Things Based on Vibration Energy Harvesting Technology: Toward the Future Eco‐Society

Clean energy has emerged as the focal point of global energy and power development. With the advancement of 5G technology and the Internet of Things (IoT), the demand for sustainable energy supply has become more pressing, leading to widespread attention to vibration energy harvesting technology. This technology enables the conversion of vibrational energy from natural phenomena such as ocean waves and wind, as well as machinery operation and human activities, into electrical energy, thus supporting the expansion of self‐sustained IoT systems. This review provides an overview of the progress in vibration energy harvesting technology and discusses the integration of this technology with self‐powered sensors and artificial intelligence. These integrations are reflected in the enhanced accuracy of environmental monitoring, increased efficiency in intelligent transportation and industrial production, and improved quality of life through intelligent healthcare and smart home. Such applications demonstrate the significant potential of self‐sustained artificial IoT in promoting environmental sustainability and elevating the level of intelligent living. In summary, exploring and applying vibration energy harvesting technology to support the autonomous operation of IoT devices is key to building a more sustainable, intelligent, and interconnected world.

Apple recognition in complex environments based on FC-DETR

This study aims to address the challenges of apple recognition in complex environments by proposing a solution based on the FC-DETR model. Apple cultivation is an important part of agriculture in Xinjiang, but the increasing shortage of labor has driven the demand for automated harvesting technologies. Therefore, research and development of apple recognition technology in complex environments have become crucial. While CNN architecture models can accurately identify apples in conventional settings, their inherent receptive field limitations prevent them from fully capturing global features in noisy and complex environments, making it difficult to achieve the accuracy and robustness required for practical applications. To solve this problem, this study proposes a real-time object detection model, FC-DETR. This model incorporates the innovative FEMA-BasicBlock residual module, the CAFM cross-scale adaptive feature fusion module, and the novel Inner-WIoU loss function, thereby enhancing feature processing, multi-scale feature selection and integration, and detection accuracy. Experimental results show that the FC-DETR model achieves an apple recognition accuracy of 87 % and a recall rate of 82 % in complex backgrounds while maintaining a lightweight design. This study not only makes significant advances in automated apple harvesting technology but also contributes to improving the efficiency and sustainability of the apple industry in Xinjiang and globally.

Charge self-shuttling triboelectric nanogenerator based on wind-driven pump excitation for harvesting water wave energy

The most important ocean energy sources are wind energy and water wave energy, both of which are significant to carbon neutrality. Due to uneven distribution and random movement, the conversion efficiency from the two energies into electrical energy is limited, so the coupling of them is necessary. However, the current energy harvesting technologies generally target one certain type, or are simple mechanical coupling. Here, we propose a composite water wave energy harvesting scheme with wind excitation based on triboelectric nanogenerators (TENGs). A rotation TENG driven by wind is introduced as a pump to inject charges into the main TENG. For the main TENG driven by water waves, a specially designed charge self-shuttling mode is applied (CSS-TENG). Under the pump excitation, the shuttling charge amount is increased by 11.8 times, and the peak power density reaches 33.0 W m−3, with an average power density of 2.4 W m−3. Furthermore, the CSS-TENG is expanded into an array by parallel connection, and the practical applications are demonstrated. This work organically couples the wind and water wave energy in the ocean scene, through the charge pumping and self-shuttling mode, providing a new pathway for the synergistic development of clean and renewable energy sources.

PERFORMANCE EVALUATION OF PRECISION GROUNDNUT DIGGER-INVERTER

Conventional groundnut digger blades are labor-intensive, time-consuming, and have high yield losses (up to 30%). The objective of this study was to adopt a precision groundnut harvesting technology in the country to reduce groundnut harvesting losses and to compare its performance with the conventional digger blade. Agricultural Engineering Institute, NARC, PARC imported a precision groundnut digger-inverter from the USA. This machine was tested at farmer’s fields and its performance was compared with the conventional digger. Data from both machines were collected for total digging losses, viz exposed pod losses, unexposed pod losses, damaged pod losses, and undug pod losses from different locations in the Pothohar region of Punjab, Pakistan. Results revealed that total pod losses using an imported precision digger shaker harvesting machine were 4.76%, whereas the total losses of a conventional digger were 28.26%. The operational cost using a conventional digger was Rs. 4,400/a, which was reduced to Rs. 2,350/a using a precision digger-inverter. The net benefit in terms of recoverable losses was Rs. 14,050 per acre. It is concluded that a significant amount of losses is reduced and farmer profit increases by adopting precision groundnut digger-inverter. There is a need to upscale this technology in the country's groundnut growing areas to reduce harvesting losses.

Assessing the role of technology transfer and participatory technology development on farmers crop yield and income in Shawa village of Zalingei, Central Darfur State

This study is aiming at assessing the role of technology transfer and participatory technology development on farmers’ crop yield and income in Shawa village of Zalingei locality during 2022/2023 cropping rainy season. Clustered random sampling technique applied. Demonstration farm was established in an area of 1.5 feddan. Farmers field schools (FFSs) of 25 men and women farmers selected. Participatory Technology Development (PTD) for men and women farmers was also developed in an area of 1.5 feddan. Improved seeds will be grown versus local check. Each treatment comprising NPK fertilizer micro dose (0. 0.3, 0.6 and 0.9 gram/ hole) randomly practiced. Fertilizer micro dose with percentage of 17-17-17 was added and mixed with seeds per hole at planting method. All farmers experienced to practical and theoretical farming of FFSs training in all research technical packages of land preparation, sowing date, seed preparation, seed dressing, thinning, weeding, water harvesting, soil conservation, pests and diseases control, seed production technologies, harvest and post harvest technologies. Results of partial crop budget revealed that all crops finically gave positive net returns. The highest yield kg/ha was obtained by Sorghum Wad-Ahmed 3500, Sorghum Butana with 3250, 3000 kg/ha for sorghum local and G/nut Gibaish, while the lowest yield/ha shown by sesame local (776 kg/ha). Therefore, the highest net returns was recorded by sorghum Butana (SDG 329048), sorghum wad-Ahmed (SDG 295477), sorghum local (SDG 269048) and G/nut Gibaish (SDG 108990). While the lowest net returns was computed by G/nut local with SDG 21,381. Results of marginal analysis revealed that sorghum Butana gave the highest MRR 1230. Results of Participatory Technology Development (PTD) of improved yields against local indicated that, the highest yield obtained by sorghum Wad-Ahmed and G/nut Gibaish (1100 and 950 kg/feddan), respectively. While the lowest yield obtained by sesame local (195 kg/feddan). The increased over decreased of improved versus local showed that sorghum wad-ahmed exceed local by 11%, millet Ashana 36%, sesame Promio 13% and groundnut Gibaish exceed local by 25%. The study recommended strengthening research extension farmers and enhancing farmers’ participatory technology development.

DFT insight into the phase stability, optoelectronic, elastic, vibrational, and thermodynamic properties of metal chalcogenides RbKM (M = S, Se, Te) for energy harvesting technology

In this manuscript, the structural, optoelectronic, elastic, vibrational, and thermodynamic properties of RbKM (M = S, Se, Te) chalcogenides are explored via first principles approach. The estimated equilibrium lattice parameters a(c) through the TB-mBJ functional are 5.3876 Å (8.2810 Å), 5.2700 Å (8.6550 Å) and 5.2656 Å (8.7707 Å) for RbKS, RbKSe and RbKTe, respectively. The large value of the cohesive (Ecoh) and formation energy (Eform) reveals that all these compounds are stable at 0 K that may be difficult to decompose at ambient conditions. The direct band gap for RbKS, RbKSe and RbKTe is noted as 4.05 eV, 3.71 eV and 3.63 eV, respectively that is sufficient to declare them as semiconducting materials. So far as, the projected density of states (PDOS), pseudo electrons residing in d orbitals of the rubidium atoms contribute in the conduction region and p orbitals of chalcogen elements partake in the valence band. The optical parameters are determined by Kramers-Kronig relations. The elastic constants unveil that all compounds are mechanically stable and hold anisotropic nature. Here the vibrational properties of RbKM (M = S, Se, Te) are examined through Density functional perturbation theory (DFPT) technique. The Harmonic Approximation Method (HAM) is utilized to seek thermodynamic stability that is ensured due to the observance of negative free energy for all cases. Our theoretical outcomes for RbKM (M = S, Se, Te) can contribute significantly to amelioration for future research in devising optoelectronic and energy harvesting like appliances.

Protecting ancient water harvesting technologies in India: strategies for climate adaptation and sustainable development with global lessons

IntroductionAncient water harvesting systems, such as those from the Indus Valley Civilization (~3500 BCE), have been vital for irrigation and climate resilience, especially in arid regions. One such prominent system in South Asia, called tank irrigation, initially thrived through community management but declined post-independence due to colonial policies and neglect in Sri Lanka and India. This study evaluates current policy frameworks and rehabilitation programs to enhance the resilience of these systems in India, develop strategies for their protection and adaptation to climate change, and integrate global lessons for sustainable development.MethodsA systematic meta-analysis of grey literature was conducted to aggregate data on policy constraints. Policy analysis involved detailed investigations of relevant documents, regulations, and comparative analyses of frameworks at regional and national levels. Pilot projects on tank rehabilitation were assessed through reported case studies and field surveys to gauge impact. Thematic analysis was used to explore the global potential of these systems in climate resilience and overall environmental sustainability.ResultsThe analysis showed that pilot projects for tank rehabilitation had limited success in achieving sustainability under current climate conditions. Tank irrigation systems are crucial for adapting to extreme weather, including floods, droughts, and heat waves, replenishing groundwater, reducing soil erosion, and ensuring reliable water supplies. Traditional water harvesting technologies support 17 Sustainable Development Goals (SDGs), including clean water access, hunger reduction, gender equality, and climate action. Integrating AI and machine learning in water management benefits disaster response, while eco-tourism aids system maintenance and cultural awareness.DiscussionThe study underscores the need for policy reforms to enhance tank rehabilitation and institutional arrangements. It calls for increased beneficiary participation and constitutional recognition of current practices. Strategic, national-scale assessments and resilience targets are recommended to improve the effectiveness of such water harvesting systems in mitigating natural hazards and enhancing environmental services.