High Construction Costs Research Articles

Diagnosis and Countermeasure Research on Restrictive Factors of Household Photovoltaic Development in Shunyi District

In order to mitigate climate change and global warming, and to balance the relationship between energy consumption and carbon emissions, China has put forward the “double carbon” goal, which will promote the construction of household photovoltaic as an important part of development. Distributed photovoltaic has the characteristics of high construction cost and long cost recovery cycle, which are unfavorable factors restricting large-scale promotion. and has been relying on national financial subsidies for a long time in the early stage of development. Under the incentive of high subsidies, the scale of China􀆳s distributed photovoltaic industry has expanded rapidly and maintained a high-speed development trend for many years. However, the large-scale development is accompanied by a surge in government subsidy funds. The high subsidy funds are difficult to be sustained, and the distributed photovoltaic industry is facing the overall trend of subsidy decline. This paper takes Shunyi District of Beijing, the first batch of pilot areas for rooftop distributed photovoltaic development in the whole county (city, district) in China, as an example. Through questionnaire survey, field interview and model analysis, this paper reveals the difficulties faced by household photovoltaic development in this area, identifies the main constraints and problems of photovoltaic development in this area, and quantitatively analyzes the influence degree of various factors. On this basis, based on the theoretical perspective of ‘cooperative governance’, this paper attempts to construct a G-P-M-S incentive system for household distributed photovoltaic development, which covers the government, public, market and society, and condenses the policy orientation of coordinating ‘cross-level’, ‘ cross-department’, ‘cross-subject’ and ‘policy tool integration’, and puts forward specific policy suggestions in light of the actual situation of Shunyi District, so as to provide support for Shunyi District to promote the development of photovoltaic industry and realize green and low-carbon transformation.

Innovation of new energy equipment in the context of smart grid

Charging pile technology is of great significance for the popularization of electric vehicles and the construction of smart grids. By analyzing the development status and trend of charging pile technology against the background of the smart grid, this paper discusses the future development direction of charging pile technology. The research results show that the development prospect of charging pile technology under the background of smart grids is very broad, and it is necessary for the government and enterprises to make joint efforts to solve the problems of high construction costs and unreasonable layout of charging piles through technological innovation and policy support, promote the rapid development of charging pile technology, and provide better support for the development of the electric vehicle market. Charging pile technology is an important device connecting electric vehicles and power grids, which is of great significance for the popularization of electric vehicles and the construction of smart grids. This essay designs a kind of high-power intelligent charging pile which can meet the security protection level, carry out real-time monitoring, real-time data acquisition and interconnection.

PIMFP: An accurate tool for the prediction of intramuscular fat percentage in live pigs using ultrasound images based on deep learning

Intramuscular fat (IMF) percentage is the proportion of fat between the muscle fibers of the loin eye, which contributes significantly to the flavor and tenderness of the pork. Traditional IMF percentage is measured after slaughter, which requires a high cost, and the slaughtered pig with high IMF percentage can not be directly retained for breeding. Instead of slaughter, using ultrasound images to predict IMF percentage has been gradually proposed as an alternative measurement. However, due to the high cost of dataset construction and limited feature extraction capability of traditional image analysis methods, there is still a lack of an accurate and robust method based on the large-scale dataset for predicting IMF percentage. Here, to establish an accurate model for non-invasive prediction of IMF percentage in pigs, a total number of 4,552 ultrasound images and their corresponding IMF percentage of 945 pigs are collected in this study. We proposed a general-purpose model, PIMFP, to accurately predict IMF percentage based on the deep convolutional neural network. The PIMFP model comprises three primary modules: image preprocessing, feature extraction, and IMF percentage prediction. The preprocessing procedures for the raw ultrasound images include channel conversion, region of interest selection, and contrast enhancement. The feature extraction module characterizes the preprocessed images using the residual neural network as the backbone to extract features. The image features are then delivered to the IMF percentage prediction module depending on the fully connected layer. Our proposed model exhibits significant advantages over existing models in predictive performance, computational speed, classification ability, robustness, and interpretability. For easier use, we also provide a user-friendly web tool for predicting IMF percentage automatically in a single step. In conclusion, our study demonstrates the power of the PIMFP model for predicting IMF percentage, which has great potential in future breeding and highlights the application of artificial intelligence algorithms in livestock.

Design and construction of catenary-ruled surfaces

The past two decades have witnessed an increasing adoption of double-curved surfaces in architectural design and building construction. However, their shape complexity has brought a great challenge in design and construction, typically leading to high modeling and construction costs. In this study, a new geometry family, termed catenary-ruled surface, is proposed. They can be conveniently created using catenary rulings based on the transformation of line rulings, thereby offering new possibilities for designing a wide variety of architectural forms. Moreover, this paper uses a physical model to demonstrate that a specific group of catenary-ruled surfaces can be effectively and inexpensively constructed using a proposed string actuation system. This is achieved by using a series of foldable arches to form the target surface, with their folding motion controlled by simply pulling external strings. The constructed structure with catenary rulings can act as an efficient structural system that is predominantly under pure compression.

Macroeconomic and financial dimensions influences on Indonesia's property and real estate companies value (2017-2022)

This paper investigates the relationship between macroeconomic factors, firm financial position, and firm value in Indonesia's property and real estate sector from 2017 to 2022. The property and real estate sectors significantly influence Indonesia's economic growth. Nevertheless, the real estate sector has encountered significant obstacles in recent years, notably during the COVID-19 pandemic, due to volatility in interest rates, high construction costs, and the sluggish property market. This study aims to address the existing research gap by investigating the relationship between macroeconomic indicators, including GDP growth, inflation rates, and interest rates, as well as financial factors, such as profitability and leverage, on the industry’s firm value over a specified timeframe. Using panel data regressions, the study analyzes 162 observations from 27 listed property and real estate companies. The empirical findings demonstrate that property and real estate firms have the potential to enhance their overall performance and increase shareholder value by considering the interconnectedness of economic conditions and the financial position of the firm. Profitability emerges as a significant predictor of firm value, while the selected macroeconomic factors have significant and insignificant effects on the valuation of firms. Meanwhile, since this industry has substantial leverage, this variable does not affect firm value. This study also highlights that the critical component that drives the evaluation of a firm's value is heavily influenced by the specifics of the industry and the regulatory framework in which the business operates.

An urban energy recycling system that recycles the waste heat from industry for deicing on urban road in winter-taking Harbin as an example.

Northern cities in China have frequently suffered from ice and snow disasters. On the other hand, Harbin mainly relies on coal-fired plants for heating during the winter time. However, coal-fired plants produce a significant amount of air pollution through the production of numerous hazardous gases. This thesis proposed an urban energy recycling system that uses waste gas from heating facilities to recycle waste heat and reduce air pollution in northern cities during the winter. This research made a hypothesis that wintertime ice and snow on city streets could be melted by using waste heat of waste gases from heating industries. The methodology of this research can be divided into three parts: Firstly, the principle of theenergy recycling system is designed based on investigation. Secondly, a simulation experiment is used to analyze the system's difficulties. According to the experiment, when anicy road is far away from the heating industry, ice melting efficiency is low. Finally, this research proposed a method for system improvement based on the findings of the experiment. The system's environmental and social benefits will likely lead to its future application in northern Chinese cities even if there are many application-related difficulties, such as the high cost of construction.

Leaf nitrogen and phosphorus resorption efficiencies are related to drought resistance across woody species in a Chinese savanna.

Leaf nutrient resorption and drought resistance are crucial for the growth and survival of plants. However, our understanding of the relationships between leaf nutrient resorption and plant drought resistance is still limited. In this study, we investigated the nitrogen and phosphorus resorption efficiencies (NRE and PRE), leaf structural traits, leaf osmotic potential at full hydration (Ψosm), xylem water potential at 50% loss of xylem-specific hydraulic conductivity (P50) and seasonal minimum water potential (Ψmin) for 18 shrub and tree species in a semiarid savanna ecosystem, in Southwest China. Our results showed that NRE and PRE exhibited trade-off against drought resistance traits (Ψosm and P50) across woody species. Moreover, this relationship was modulated by leaf structural investment. Species with low structural investment (e.g., leaf mass per area, leaf dry mass content and leaf construction cost [LCC]) tend to have high NRE and PRE, while those with high LCCs show high drought resistance, showing more negative Ψosm and P50.These results indicate that species with a lower leaf structural investment may have a greater need to recycle their nutrients, thus exhibiting higher nutrient resorption efficiencies, and vice versa. In conclusion, nutrient resorption efficiency may be a crucial adaptation strategy for coexisting plants in semiarid ecosystems, highlighting the importance of understanding the complex relationships between nutrient cycling and plant survival strategies.

Experimental and numerical study of road-bridge link slabs in fully jointless bridges using rubberized engineered cementitious composites (R-ECC)

This paper presents a different way using crumb rubber and fine sand totally replaced for silica sand within ECC mixtures to make rubberized engineered cementitious composites (R-ECC) to solve the issues of high construction cost of the road-bridge link slab for fully jointless bridges (FJBs). The crumb rubber with a size of 80 CR was replaced with fine sand from a volume rate of 5–20% in multiples of 5% to prepare the R-ECC material. Five different R-ECC mixtures (CR0-CR20) with different mix designs were prepared and tested, then an optimum mix proportion for the R-ECC mixtures was found. An R-ECC road-bridge link slab made of the optimum mix proportion which replace with fine sand in a volume rate of 15% was constructed, and its absorptive deformation capacity, tensile performance, and crack distribution under the most unfavourable load (temperature drop load) were studied. It is found that the R-ECC slab has good absorptive deformation capacity, crack control capacity and better internal force distribution. Therefore, R-ECC mixtures can be utilized for road-bridge link slab construction. Then, a sensitivity finite element comparative analysis was carried out considering the content of crumb rubbers, the friction coefficient and the slab length. It is found that the design length has a greater influence on the tensile performance of the R-ECC slab than other factors. Finally, a preliminary design theory of road-bridge link slab for FJBs has been established.

Adoption of Different Housing Models to Access Housing by Households in Nairobi County

Purpose: This study aimed to evaluate adoption of different housing models to access housing by households in Nairobi County.
 Methodology: Employing a descriptive research design, the study investigates the impact of housing regulations on housing access through mortgage and cooperative models. The research sample comprises 385 households, CEOs of housing financing organizations, and government officers.
 Findings: The study reveals that adoption of housing model is shaped by diverse factors. The residency duration reflects both long-term and newer residents, highlighting the dynamic interplay of urban growth and migration. Notably, 35.0% of respondents have lived in their current houses for "4 - 6 years," emphasizing housing stability. The prevalent adoption of the Incremental (34.4%) and Cooperative Models (33.4%), alongside 41.4% awareness of the Mortgage Model, signifies residents' adaptability in navigating financial avenues for homeownership. Challenges like high construction costs persist, with 80% of Nairobi's population residing in informal settlements and slums. Strengthening regulatory frameworks is crucial, and policymakers should address financial barriers. This study provides insights for creating an inclusive and sustainable housing environment, essential for the 59.2% of renters expressing aspirations to transition into homeownership in Nairobi County. In conclusion, the housing landscape in Nairobi County, particularly Ruai Sub-County, reflects a mix of long-term and newer residents, emphasizing housing stability. The prevalent adoption of Incremental and Cooperative Models, along with awareness of the Mortgage Model, indicates residents' adaptability in pursuing homeownership.
 Unique Contribution to Theory, Practice and Policy: Utilizing the Public Interest Economic Regulation Theory (PIERT), the Q Theory of Housing Investment, and the Theory of Distributive Justice, the research explores the interplay between government regulations, market forces, and social equity in the context of affordable housing. To address challenges, policymakers should strengthen regulatory frameworks, enhance financial policies, and promote diverse housing models. Public awareness campaigns are vital. Recommendations include tailored financial products and inclusive strategies to meet the varied needs of the population. These measures aim to create an enabling environment for accessible and sustainable housing in Nairobi County, benefiting both existing and aspiring homeowners.

Ecological Security of Desert–Oasis Areas in the Yellow River Basin, China

The desert–oasis interaction zone plays a crucial role in safeguarding oasis ecological security and maintaining stability within oases. This paper proposed a framework of EN-DSS, based on long-term remote sensing data and fundamental data, adopted morphological spatial pattern analysis (MSPA) and Linkage Mapper among other methods, and it took Lingwu City in the Ningxia Hui Autonomous Region, which is located in the desert–oasis interaction zone in the upper reaches of the Yellow River, as a case study. The results indicate the following: since 1995, this desert–oasis system has exhibited the characteristics whereby the oasis is expanding eastward and the desert is significantly receding. The vegetation coverage has improved overall, forming an ecological security pattern characterized predominantly by shrub forests, which is referred to as the “one core, two corridors, three zones, and multiple clusters” pattern. This pattern has significantly reduced the risk of wind and sand erosion in the agricultural irrigation areas along the Yellow River. However, the construction of this ecological security pattern still faces challenges, including high construction and maintenance costs and the need to enhance the network’s quality. In the future, it will be necessary to strengthen the integrated ecological network construction of ecological areas, agricultural areas, and urban areas to enhance the stability of this regional ecological network system.

Preliminary design of the suppressive containment system based on HPR1000

The current HPR1000 has a high construction cost and weak economic competitiveness due to its complex system and large containment. This study proposes a conceptual design of an advanced containment system based on HPR1000, which aims at reducing the construction cost of nuclear power plants without reducing their safety. In the design, the In-containment Refueling Water Storage Tank (IRWST) and spray system were discarded, and the space of the double containment vessel was used to create an annular cavity pool (ACP). The transient pressurization in the containment caused in the early stages of the accident can be quickly suppressed by ACP instead of the traditional large-volume suppression concept. And due to the significant condensation of steam within the ACP water, the transportation of air into the ACP results in a reduction in the air mass fraction in the vicinity of the passive containment heat removal system (PCHR) located within the containment structure. This phenomenon subsequently leads to an enhancement in heat transfer performance. In addition, ACP also serves as the water source for the safety injection system, the reactor cavity water injection system, and the core replacement system. Compared with HPR1000, the system of the preliminary design has been greatly simplified, and the size of the containment vessel has been reduced by nearly 47%. The simulation of the large-break loss-of-coolant accident (LBLOCA) scenario has been conducted to examine the response of the containment system, specifically focusing on the performance of the safety injection system and suppression system. The results show that the integrity of the containment and core was ensured throughout the accident, and there was a safety margin.

Evaluation of Concrete Performances Based Recycled Aggregates of Road and Build Demolition for a Formal Using in the Republic of Congo

The reuse of recycled aggregates in the composition of concrete is a major challenge today in response to the high cost of construction and the environmental impact of waste This work evaluates the the physic-mechanical properties of concrete using recycled building demolition aggregates and bituminous concrete of pavements in the Republic of Congo. The idea was to check whether these recycled aggregates can have the same performance as when they were first used in concrete. From the results obtained, the recycled building aggregates have good mechanical strength according to the Los Angeles (32.5%) and Micro-Deval (29.3%) tests. Concrete made from building demolition aggregates (CRA1#) has a 28-day compressive strength of (28.8MPa), which is very close to that of the CNA# control concrete (31.11MPa). Concrete incorporating a mixture of asphalt concrete and building demolition aggregates (CRA3#) has a compressive strength of 20.32MPa. In terms of compressive strength, only CRA1# and CRA3# can be used as class C25 concrete for CRA1# and C20 for CRA3#.

Economic Analysis of Large-Scale Renewable Energy (RE) Source Investment Incorporating Power System Transmission Costs

Recently, the proportion of renewable energy (RE) sources in a power system has been increasing worldwide to reduce carbon emissions. To effectively accommodate renewable energy, there is a growing need to develop integrated planning strategies for both renewable energy sources and transmission lines in a power system, taking into account the location-specific characteristics of renewable energy. Economically viable and rapid system expansion plans are required to resolve the problem of delayed integration of renewable energy into existing power system, which arises due to inadequate transmission facilities. To address these problems, this paper presents an integrated economic evaluation method that considers the inherently uncertain output characteristics of renewable energy, contingent on location, the costs associated with installing transmission lines, and environmental benefits. The case study is conducted using a modified power system in Korea. In the case study, it is assumed that by integrating solar power generators in a low-demand area and wind power generators in a high-demand area, wind power plants have higher construction costs than solar power generators. However, the transmission costs for wind power plants are lower than those for solar power generators due to the regional characteristics of the power grid in the installation areas because renewable energy in high-demand areas typically requires less additional power infrastructure than in low-demand areas. The results of this study show that the net benefit for the wind power plant is estimated at USD 225.4 M, while the solar power plant yields a net benefit of USD 22.9 M in the example system. These results demonstrate the effectiveness of the proposed method, underscoring its potential to mitigate the challenges faced in the practical implementation of renewable energy projects.

Spatial distribution prediction model for lake water quality parameters from ultra-sparse sampling data with recent satellite data

ABSTRACT Daily spatial distributions of water quality parameters (WQPs) are a crucial indicator in delicacy management of lake water environment in China. However, because of the high cost of construction and maintenance, there are a few automatic monitoring stations (AMSs) for continuous water sampling with only ultra-sparse spatial sampling data can be obtained. Meanwhile, although WQPs from satellite inversion are spatially continuous, they are missing on most days due to severe affected by weather and satellite revisit cycle, besides the high purchase cost. Thus, the model called MLP-GPR is formulated in this study to address the issue of predicting the spatial distribution of WQPs from ultra-sparse sampling data of AMSs combined with the spatial correlation information based on ultra-sparse satellite inversion data. This model includes the multilayer perceptron model (MLP) and Gaussian process regression model (GPR). MLP is trained to learn the interaction factors of WQPs between different locations through the satellite inversion data for predicting WQPs at more locations based on the data measured by AMSs. Then, GPR regresses the spatial distribution of WQPs at all locations on the entire lake from the predicted data by MLP. Based on the above model, we applied the satellite inversion, AMSs and artificial sampling data to predict the WQP spatial distribution of Shahu Lake in Wuhan, China. The experiment results show that the spatial resolution of WQP distribution predicted by MLP-GPR trained by satellite inversion data can reach 15 m by sampling data from artificial stations on the lake with 3.197 km2. Moreover, for each of these WQPs, compared with the satellite inversion data, the average MRE, R, and NSE of prediction results are below 3.95%, above 0.85, and above 0.69, respectively.

Optimization of Railway Infrastructure Asset – A Review

Railway infrastructure assets are key components in the railway transportation system. Optimal asset management is essential to improve the efficiency and productivity of the railway system, as well as help prevent unnecessary costs in the asset life cycle. Reliability, Availability, Maintainability, and Safety (RAMS) and Life Cycle Cost (LCC) methods can be used in managing railway infrastructure assets. RAMS is a method used to assess the performance of high-complexity systems such as rail infrastructure systems. In contrast, LCC is used to evaluate the overall cost of a system or asset over the life cycle. Integrating RAMS and LCC concepts can help plan railways' design, operation, and maintenance. This integration is very flexible as it can be done from the life cycle's design, operation, and maintenance stages. Research shows that using the integration of RAMS and LCC can lead to better strategic decisions in the life cycle of a railway. In selecting assets to support design and maintenance, for example, there are two high-speed rail double-track alternatives of ballasted and ballastless track, with results showing that ballastless track has higher RAMS performance and lower maintenance cost but higher construction costs, so ballasted track solutions are preferred for short-term construction and the ballastless track is preferred for long-term.

Challenges of circular design adoption in the Nigerian built environment: An empirical study

The architecture, engineering, construction, and operation (AECO) sector significantly contributes to natural resource depletion, pollution, and climate change impacts. The design stage is crucial in the circular economy (CE) approach in the AECO sector. Adopting CE in design faces various challenges, including sociocultural, technical, economic, regulatory, organizational, and technological aspects, among other. Despite increasing research in this area, there is a scarcity of studies addressing these barriers in the Nigerian built environment (NBE), especially at the design firm (DF) level. The study investigated the challenges of CD adoption in the NBE. Through a survey of 307 architectural and engineering DFs in Lagos, Nigeria, data collected were analysed using descriptive and inferential statistical methods. Economic and knowledge-related challenges emerged as the most significant. The findings were attributed to the newness of CD in the NBE, lack of technical CD knowledge, and short-term mindset of the client, influenced by high resource and construction costs due to the current volatile economy and the issues of high foreign exchange in Nigeria. The study recommended promoting public awareness, training of DFs, establishing voluntary stewardships, regulatory frameworks, and incentives, developing pilot projects and forming international collaborations to expedite CD adoption. The outcomes have the potential to facilitate the development of a CD implementation framework in the NBE. By offering new and valuable insights into CD challenges in developing countries’ AECO sector, and proposing practical enablers for overcoming the unique barriers in the NBE during the implementation process, the study contributed to the global discourse on CD adoption.

Hydrodynamic performance of pile restrained U-shaped OWC device using boundary element method

The hydrodynamic performance of a pile-restrained U-shaped Oscillating Water Column (U-OWC) device under the action of normal incident waves is analysed using the Boundary Element Method (BEM). The hydrodynamic parameters, such as the radiation susceptance and conductance coefficients and hydrodynamic efficiency, are analysed for various cases of different structural parameters of U-OWC. It is observed that the theoretical maximum efficiency can be achieved for a wide range of wavenumbers by appropriate tweaking and optimisation of the device geometry. The resonance enables the device to reach the maximum possible efficiency and the phenomenon of obtaining the maximum efficiency of the final optimised geometry is achieved. The shorter length of draft of the device is chosen over longer draft considering the high construction cost as well as efficiency enhancement of the device, even though the longer draft is observed to perform marginally better in a narrow wave number range. The numerical investigation of the theoretical maximum efficiency is observed to be 100% whenever the μ (dimensionless radiation susceptance coefficient) crosses the zero mark. Consequently, the maximum theoretical efficiency is observed close to maximum whenever μ is close to zero. The final optimised geometry consisting of an inward inclined top wall configuration performs best but could be challenging in actual construction. Further, on inclining the bottom wall in the inwards or outward direction does not result in better performance than inclining only the top wall. The present study explores a novel concept of pile-restrained U-OWC kept near the surface and will be helpful in determining the best-performing geometry for the device.

Seasonal patterns of leaf physiological traits, nutrient and adaptive strategies of co-occurring Alnus nepalensis and Quercus leucotrichophora tree species in the central Himalaya

We compared seasonal leaf gas exchange patterns, photosynthetic pigments, and photosynthetic nutrient use efficiencies in two co-occurring tree species, Nepalese alder (Alnus nepalensis D. Don) and white oak (Quercus leucotrichophora A. Camus), in the central Himalaya. In both species, area-based and mass-based photosynthetic CO2 assimilation rates, stomatal conductance, leaf nutrient concentration, photosynthetic nutrient use efficiency, and leaf chlorophyll pigments peaked in summer, while water use efficiency peaked in autumn. In spring, summer, and autumn, values for most parameters (specific leaf area, relative water contents, area-based and mass-based photosynthetic CO2 assimilation rates, leaf nutrient concentration, photosynthetic nutrient use efficiencies, and leaf chlorophyll pigments) were higher in A. nepalensis than in Q. leucotrichophora. In winter, however, values for area-based CO2 assimilation rates, water use efficiency, leaf calcium, leaf magnesium concentration, and photosynthetic pigments were higher in Q. leucotrichophora than in A. nepalensis. We conclude that A. nepalensis exhibits a more resource-acquisitive strategy, characterized by higher levels of leaf nutrients and nutrient use efficiencies, that supports higher photosynthetic capacity. In contrast, Q. leucotrichophora exhibits a resource-conservative strategy with higher construction cost.

An Extensive Analysis of the Engineering Design of Underground Sewage Plants in China

In recent years, underground sewage treatment plants that can remarkably reduce land occupation with less environmental pollution are gradually entering the popular consciousness and are now being used widely. However, problems associated with the traditional treatment plants, such as high construction and operation cost, severe health and safety risks, and monotonous landscape design have limited their value and restricted their application and promotion. Through the literature and field investigations, the value of underground sewage treatment plants (STPs) was analyzed, their engineering and landscape design were studied, and their development direction was explored in order to supply a theoretical basis for further application and development of underground STPs. The analysis showed that as a new model of environmentally friendly sewage treatment and resource conservation, underground STPs have the apparent advantages of lower cost of land use for construction and pipeline as well as an outstanding value for the urban landscape and ecological environment. These factors can offset its relatively high construction and operating costs to a certain extent, especially when compared with above-ground STPs. The engineering design study results showed that significant differences existed between underground STPs and traditional above-ground STPs, and that the main contents of the engineering design of underground STPs consist of treatment scale and degree, influent and effluent qualities, site selection, design model, underground arrangement and structure, main treatment process, monomer structure, ventilation and deodorization, daylighting and artificial lightings, fire safety, operation and maintenance, and the linkage design between the above-ground landscape and the underground STP.

Filter-Hilbert method for automatic correction of non-anechoic antenna measurements with embedded self-calibration mechanism

One of the most important steps in the process of antenna development involves measurements of its prototype. Far-field performance of radiators is normally characterized in strictly controlled environments such as anechoic chambers which can ensure certification-grade accuracy. Unfortunately, they are also characterized by high construction costs which might not be justified for low-budget research and/or teaching-related activities. Alternatively, the radiation characteristics can be obtained in non-anechoic test sites which neglect the expensive components such as shielding and/or absorbing materials. Although the noise from external radiation sources and multi-path interferences renders direct measurements in such conditions useless for drawing conclusions on antenna performance, the quality of responses can be substantially increased using appropriate post-processing. Unfortunately, the existing techniques are difficult to set-up and prone to failure which makes them of limited use for day-to-day measurements. In this work, a correction framework for non-anechoic measurements based on a set of Hilbert filters automatically adapted to propagation conditions within the test-site has been proposed. The presented method has been validated based on three example antennas and a total of 25 experiments covering 15 unique frequencies of interest. A benchmark of the method against the state-of-the-art correction techniques has also been performed.