Feasible Configurations Research Articles

Concise magnetic force model for Halbach-type magnet arrays and its application in permanent magnetic guideway optimization

In maglev trains, a permanent magnetic guideway (PMG) is an indispensable component that influences their levitation stability. PMG generates the magnetic repulsion force in permanent magnetic levitation and provides the pinning force via coupling with bulk superconductors in superconducting magnetic levitation. Typically, they are arranged in a Halbach array to enhance the magnetic force. However, the spatial inhomogeneous feature of magnetic field makes magnetic force acquisition of the double-sided Halbach array extremely difficult. For accurate magnetic force acquisition, this study proposes a concise analytical magnetic force model and elucidates upon its field behavior. Based on this, a finite element method (FEM) model was developed and verified. The experimental results demonstrated that the Halbach-type PMG’s field distribution was effectively reproduced. Subsequently, the accuracy of the was obtained via comparison with the FEM. The calculation results revealed that the increase in the levitation force tends to be saturated as more magnets are used. For a feasible PMG configuration in terms of high levitation force and low lateral force, the structural parameters were optimized using the multi-objective particle swarm optimization (MOSPO) algorithm combined with the identified magnetic force formulas. The results and findings of this study have significant implications for the design optimization of guideway configurations that heavily rely on permanent magnets.

A comprehensive feasibility analysis of dual-fuel engines and solid oxide fuel cells on a tanker ship considering environmental, economic, and regulation aspects

The paper aims to assess if liquefied natural gas (LNG)-dual-fuel (DF) engines as main engine solid oxide fuel cells (SOFCs), and waste heat recovery systems (WHRS) as auxiliary units are feasible configurations for current and future years on ships. Data from an oceangoing tanker ship with 115,804 DWT has been collected from noon reports to execute the analysis. Through eight different scenarios including individual usage and various system combinations, the influence of these systems has been evaluated. Findings indicate that the sole scenario that satisfies the regulatory requirements is scenario 6, which involves the hydrogen (H2)-SOFCs, WHRS, and LNG-DF engines. Scenario 5 (LNG-SOFCs, WHRS, and LNG-DF engines) has enabled the largest reductions of upstream and operational carbon dioxide emissions at 47.946 % and 48.473 % respectively. Scenarios 5 and 6 significantly reduce both other upstream and operational emissions. However, LNG usage raises methane emissions substantially, while H2 increases particular matter upstream emissions. The levelized cost of energy of the systems using the conventional auxiliary units and DF engines is lower than the base scenario, however, SOFCs become practical in 2050 economically. The energy production cost of LNG reduces remarkably in future estimations, and H2 becomes commercially viable in 2050 projections.

Seamless Parametrization with Cone and Partial Loop Control

We present a method for constructing seamless parametrization for surfaces of any genus that can handle any feasible cone configuration with any type of cones. The mapping is guaranteed to be locally injective, which is due to careful construction of a simple domain boundary polygon. The polygon’s complexity depends on the cones in the field, and it is independent of mesh geometry. The result is a small polygon that can be optimized prior to the interior mapping, which contributes to the robustness of the pipeline. For a surface of genus >0, non-contractible loops play an important role, and their holonomies significantly affect mapping quality. We enable holonomy prescription, where local injectivity is guaranteed. Our prescription, however, is limited and cannot handle all feasible holonomies due to monotonicity constraints that keep our polygon simple. Yet this work is an important step toward fully solving the holonomy prescription problem.

A decision-centric approach for techno-economic optimization and environmental assessment of standalone and grid-integrated renewable-powered electric vehicle charging stations under multiple planning horizons

The automotive sector is undergoing a transitional phase towards electrification with the goal of achieving climate sustainability. Renewable-powered electric vehicle (EV) charging infrastructure can play a vital role in this paradigm shift. To support and provide a roadmap to this transition, the current study aims to investigate a sustainable planning approach for optimal renewable-powered electric vehicle charging stations (EVCS) within institutional premises. A feasibility analysis for multiple renewable-based EV charging station configurations has been carried out based on multi-objective techno-economic and environmental indicators including Levelized cost of energy (LCOE), Net present cost (NPC), and carbon emissions. The proposed planning approach has been applied under Fast charging for private vehicles and on-board charging for Ez-bikes and shuttles (FCOBC) and Medium- charging for private vehicles and on-board charging for Ez-bikes and shuttles (MCOBC). Results reveal that a PV system backed with a utility grid enabling both energy purchase and sale during peak hours and off-peak hours respectively remained the most feasible configuration for EV charging infrastructure experiencing an LCOE of $0.1289/kWh to $0.1262/kWh and $0.1168/kWh to $0.1161/kWh for both FCOBC and MCOBC, respectively. Along with the environmental analysis, a forest absorbing carbon emissions analysis has been performed to provide a policy optimization for the future environmental outlook. Results validations have been undertaken for levelized average tariffs of single point supply (above 66 kV) of different government-owned distribution companies, which indicated the commercial efficacy of the proposed EV charging infrastructure, where the LCOE is lower than the real-time operational tariffs within the region. Finally, a sensitivity analysis is carried out under different uncertainties to check the optimization behavior of proposed systems.

A new upper bound based on Dantzig-Wolfe decomposition to maximize the stability radius of a simple assembly line under uncertainty

This work presents a new upper bounding approach, based on Dantzig-Wolfe decomposition and column generation, for a relatively novel problem of designing simple assembly lines to maximize their stability radius under uncertainty in task processing times. The problem considers task precedence constraints, a fixed cycle time, and a fixed number of workstations. This NP-hard optimization problem aims to assign a given set of assembly tasks to workstations in order to find the most robust feasible line configuration. The robustness of the configuration is measured by the stability radius with respect to its feasibility, i.e., the maximum increase in task processing times, for which the cycle time constraint remains satisfied. The reformulation resulting from the Dantzig-Wolfe decomposition is enhanced with valid inequalities and tight assignment intervals are used to reduce the solution space of pricing sub-problems. In addition, a bisection method is proposed as a pre-processing technique to improve the initial upper bound on the stability radius, which is an input for the pricing sub-problem. Computational experiments show that the proposed approach can significantly improve the upper bound on the stability radius for the most challenging instances.

An Analysis of Hybrid Renewable Energy System Using HOMER Pro: A Case Study in Sungai Tiang Camp, Perak

An extraordinary worldwide shift is occurring in the twenty-first century, as people increasingly turn to renewable energy sources. However, hybrid renewable energy system (HRES) development in rural regions is technically difficult and financially expensive to provide energy access. Due to the various components necessary to produce a hybrid system, its construction is often costly. As the remote areas depend on unsustainable diesel-fuelled generators, they have greater operational expenses than non-remote areas due to the higher cost of diesel and the longer distances needed to transport the fuel. This work focuses on modelling a hybrid renewable energy system that is economically sustainable, environmentally friendly and technical consideration is taken into the design requirements. The energy cost ($/kWh) and lifecycle emission CO2 (kg/year) are considered as economic and environmental indicators, respectively. In addition, a sensitivity analysis for varied diesel fuel price ($/L) and PV capital cost of the HRES is performed to achieve a more feasible configuration. To obtain a system that can fulfil demand while meeting specific technical requirements, three configurations are evaluated: 1) standalone diesel generators, 2) hybrid PV-Diesel without battery and 3) hybrid PV-Diesel with battery. This study proposed system 3 as the best system architecture due to the lowest value of COE of 0.258$/kWh and NPC of $22,130. A solar photovoltaic (PV) and lead acid (LA) battery-based hybrid renewable energy system is suggested to fulfil the camp facility load demand of 14.92kWh/day in a rural area of Sungai Tiang, Perak. Sensitivity analysis findings show that LCOE and NPC values are substantially responsive to fuel price and PV capital cost. Integrated solar and battery technologies can enhance the economic performance (e.g., NPC, COE), environmental performance (e.g., carbon dioxide emissions), and technical performance (e.g., fuel consumption) of a renewable energy system.

4V-class Magnesium-ion pseudocapacitors fabricated using an in situ inverse-charging process

Pseudocapacitors can deliver much more improved energy densities than those (<4% of typical lithium-ion batteries) of the electrochemical double layer (EDL) capacitors. Nevertheless, surface-limited redox behaviors based on typical monovalent-ion charge carriers exhibit insufficient energy densities, necessitating a new high-performance electrochemical system based on a feasible cell configuration. In this study, 4 V-class multivalent magnesium-ion pseudocapacitors (MIPs) were fabricated from mass-producible nanocarbon electrodes and a glyme-based electrolyte system via an in situ electrochemical oxidation process. A redox-free nanocarbon electrode was electrochemically tuned into a pseudocapacitive nanocarbon anode (PNA) using a well-controlled oxidation process, showing an approximately four times higher specific capacitance value (∼196F g−1) compared with its initial EDL capacitance. The dual experimental and theoretical analysis results elucidate that the pseudocapacitance originates from the strong chemisorption ability with divalent magnesium-ions by the concerted effect of surface carbonyl functional groups and topological carbon defects. The high-capacitance PNA can work in a wide voltage range of 4 V. Therefore, the PNA-based MIP showed a high specific energy density of 167 Wh kg−1, which is much higher than those (46 ∼ 145 Wh kg−1) of previously reported alkali-ion capacitors. Additionally, a high cycling performance of the MIP full cell was achieved over 5,000 cycles.

Optimizing Modularization of Residential Housing Designs for Rapid Postdisaster Mass Production of Housing

Postdisaster housing reconstruction (PDHR) is a highly complex process because of the large number of recovery projects for affected communities and the shortage of resources after a disastrous event. PDHR also needs a strategy that reconsiders it as a large-scale integrated portfolio of projects instead of individual building reconstruction projects. However, this complexity and the lack of a holistic, systematic approach for planning frequently lead to an ad-hoc or case-by-case decision-making process. To resolve this critical challenge in postdisaster housing mass production, this study investigates and develops a systematic approach that optimizes the design modularization of housing recovery projects considering manufacturing, transportation, and assembly factors for a cost-efficient and sustainable implication of modular construction (MC) in PDHR. Using the genetic algorithm-based optimization method, the proposed method addresses the possible trade-offs between the commonality and suitability of the module configurations for PDHR projects. In addition, the authors used a set of feasible configurations of a variety of modular housing designs created from the AI-based generative design system and conducted the mass production scenarios after a disaster to validate the accuracy and robustness of the proposed methodology. The results clearly show that the proposed method significantly improved optimization and decision-making of MC design and construction processes and considerably enhanced rapid and logical responses to the demands of the postdisaster recovery process. The newly developed method is expected to assist the planners in formalizing the commonality concept in the PDHR process and achieving an optimal level of modularity and commonality that meet the required variation while maintaining the advantages of mass production.

Aseismic high-rise structure with visco-elastically connected shear- and flexural-subsystems

For a high-rise structure composed of a shear- and a flexural-type subsystem, its seismic performance can be improved as the rigid link between the subsystems being replaced by a viscoelastic connection (VEC). This structural system, termed viscoelastic shear-flexural (VeSF) structure, has an amplified flexibility and an enlarged damping, thus exhibits a mitigated acceleration and a modified displacement response. In this research, a novel feasible configuration with a low invasive feature to attain such a VeSF structure is proposed. The proposal decouples the rigid link between the shear- and the flexural-type subsystems while maintaining the latter’s ability to bear the gravity load of the floor. An elaborated modelling and computation lead us to the subsequent findings: (1) the acceleration of a VeSF structure could be 20–40% smaller than that of a conventional structure, and such a reduction gets more pronounced as the stiffness of VEC decreases or the mass on the shear-type subsystem increases; (2) the drift of the shear-type subsystem in a VeSF structure moderately increases at the bottom while remarkably decreases at the near-top zone; (3) as the shear-type subsystem gets stiffer, the acceleration-mitigation effect of the system gets weakened. Eigenvalue analyses reveal that the higher-order modal response, which contributes significantly to the acceleration response of a VeSF structure, is notably repressed. The response of the fundamental mode, which contributes the most to the displacement response, is barely mitigated. Thus, the VeSF structure is better at controlling the acceleration than the displacement.

A high-performance thermal transistor based on interfacial negative differential thermal resistance

A thermal transistor, which can achieve the smart, flexible, and precisely controlled thermal management, proves to be a promising thermal device. Recently, thermal transistors based on the negative differential thermal resistance (NDTR) have been regarded as the most feasible configuration considering their simple structures. Among the several methods to implement NDTR, the method of reducing the contact pressure between mated surfaces by using the negative thermal expansion material, thus generating a negative temperature dependent interface thermal conductance and accompanied NDTR, is the most likely to be observed experimentally. In this paper, a thermal transistor based on NDTR is designed by engineering the interfacial thermal resistance. Moreover, we optimize the switching function and the amplification function of the transistor by only adjusting the temperature and the length of the source terminal. As an example, a silicon thermal transistor with a high switching ratio as well as an accurately controlled thermal flux amplification function is discussed at low temperature. The design and optimization of macroscopic thermal transistor will promote the rapid development of thermal functional devices and help to control thermal flux in a more flexible and effective way.

Multi-parameter control-based operation strategy for mainstream deammonification in an integrated anaerobic biofilm reactor-step feed MBR

The mainstream deammonification of municipal wastewater has been recognized as one of the greatest challenges in wastewater engineering. The conventional activated sludge process has disadvantages of high energy input and sludge production. To tackle this situation, an innovative A-B process, where an anaerobic biofilm reactor (AnBR) functioned as the A stage for energy recovery, and a step-feed membrane bioreactor (MBR) functioned as the B stage for mainstream deammonification, was constructed for carbon-neutral wastewater treatment. For addressing the challenge associated with selective retention of ammonia-oxidizing bacteria (AOB) over nitrite oxidizing bacteria (NOB), a multi-parameter control-based operation strategy was developed with synergistic control of influent COD redistribution, dissolved oxygen (DO) concentration and sludge retention time (SRT) in the innovative AnBR – step-feed MBR system. Results showed that more than 85% of wastewater COD could be removed with the direct production of methane gas in the AnBR. A relatively stable partial nitritation, which is a prerequisite of anammox, was achieved with the successful suppression of NOB, leading to 98% of ammonium-N and 73% of total nitrogen removed. Anammox bacteria could well survive and enrich in the integrated system, and the contribution of anammox to the total nitrogen removal was more than 70% at optimal conditions. Reactions network involved in the nitrogen transformation in the integrated system was further constructed through the mass balance and microbial community structure analyses. Consequently, this study demonstrated a practically feasible process configuration with high operation and control flexibility towards stable mainstream deammonification of municipal wastewater.

A Novel EA-Based Techno–Economic Analysis of Charging System for Electric Vehicles: A Case Study of Qassim Region, Saudi Arabia

Because of the fast expansion of electric vehicles (EVs) in Saudi Arabia, a massive amount of energy will be needed to serve these vehicles. In addition, the transportation sector radiates a considerable amount of toxic gases in the form of SO2 and CO2. The national grid must supply a huge amount of electricity on a regular basis to meet the increasing power demands of EVs. This study thoroughly investigates the technical and economic benefits of an off-grid and grid-connected hybrid energy system with various configurations of a solar, wind turbine and battery energy storage system for the electric vehicle charging load in the Qassim region, Saudi Arabia. The goal is to decrease the cost of energy while reducing the chance of power outages in the system. This is achieved by using a new optimization algorithm called the modified salp swarm optimization algorithm (MSSOA), which is based on an evolutionary algorithm approach. MSSOA is an improved version of SSOA, which addresses its shortcomings. It has two search strategies to enhance its efficiency: first, it uses Levy flight distribution (LFD) to help individuals reach new positions faster, and second, it instructs individuals to spiral around the optimal solution, improving the exploitation phase. The MSSOA’s effectiveness is confirmed by comparing its results with those of the conventional salp swarm optimization algorithm and particle swarm optimization (PSO). According to simulation findings, MSSOA has excellent accuracy and robustness. In this region, the SPV/WT/BESS-based EV charging station is the optimal option for EV charging stations. The SPV/WT/BESS design has the lowest LCOE of all feasible configurations in the region under study. The optimum values for the LCOE and TNPC using MSSOA are USD 0.3697/kWh and USD 99,928.34, which are much lower than the optimized values for the LCOE (USD 0.4156) and TNPC (USD 1,12,671.75) using SSOA. Furthermore, a comprehensive techno–economic analysis of optimized hybrid systems is assessed by incorporating the grid-connected option. The grid connected system results in optimized values of the LCOE (USD 0.0732/kWh) and TNPC (USD 1,541,076). The impact of different grid purchase prices on the levelized cost of energy is also studied. Our results will assist the researchers to determine the best technique for the optimization of an optimal energy system.

Renewable based techno-economic analysis for telecommunication system: A case study of western Himalaya

This research article presents a technoeconomic analysis of an RET-based model for powering a hilly remote area telecom tower in Chamba district of Himachal Pradesh, India. Using the HOMER software tool with various evolutionary algorithms, the study found that the most feasible configuration was 30 kW of SP panels, 10 kW of DG units, 20 batteries, and 10 units of converter with a minimum energy cost value of 0.256 $/kWh. The energy cost values from various evolutionary techniques such as HHO, WOA, PSO, and GA were also observed to be competitive. After policy intervention and government subsidies, the cost of energy reduced to 0.167 $/kWh, which is significantly less compared to the diesel-powered system. Furthermore, sensitivity analysis was carried out for changes in solar radiations, ambient temperature, and diesel fuel prices to determine the best optimal configuration for the study.

Station-keeping strategy for tethered drag sail-based transverse formation

During general 2-satellite formation, the relative baseline between satellites periodically changes, resulting in limited time for interferometric imaging and poor observation quality. This study incorporates a drag sail into the tethered satellite system, where the chief satellite moves in a low Earth orbit (LEO) and connected deputy drag sail is in a non-Keplerian displaced orbit. Given the free-molecule flow property of the atmosphere in LEO, the drag sail can simultaneously provide normal pressure and tangential stress. By adjusting its attitude appropriately, the sail can move synchronously with the chief satellite with respect to a fixed relative position, during which a fixed baseline for formation flying can be achieved. Because the component of the baseline perpendicular to the ground tracks of the satellite is constant, the proposed system is denoted as a transverse formation. To better investigate the system, the nonlinear characteristics are analyzed for the controlled dynamical models. Considering the complexity of aerodynamic force based on rarefied gas dynamics, feasible formation configurations are investigated from the perspective of the control force direction. Then, a control strategy is provided to maintain the formation configuration based on the linear quadratic regulator (LQR) control framework. The parameter optimization of LQR control considers the coupling degree of modals, control force, and error. The attitude of the sail is inversely computed based on the Taylor expansion, and the results show that the proposed maintenance strategy is successfully realized with the smooth rotation of the drag sail.

Optimum Sizing and Modeling of Stand-Alone DC Microgrid With Hybrid Energy Storage System for Domestic Applications: Cost of Energy, Net Present Cost, and Feasible Configurations

In this article, optimum sizing and modeling of a stand-alone dc microgrid (DCMG) system for domestic applications with hybrid storage system is been proposed. The hybrid storage system consists of a lithium-ion battery (LIB) and supercapacitor (SC). The DCMG is designed to meet the load requirements of a house located in Aruppukottai, in the southern region of Tamil Nadu, India. The daily energy demand is estimated as 7.77 kWh with a peak load of 1.19 kW. This DCMG is designed and simulated by using Homer Pro software. The optimum sizing of solar photovoltaics (PVs), wind turbine (WT), LIB, and SC is evaluated based on cost of energy (CoE) and net present cost (NPC), and all feasible configurations are discussed. The feasible configurations include PV+LIB, PV+WT+LIB, WT+LB, PV+WT+SC, PV+SC, and WT+SC and are compared in terms of CoE and NPC. The results show that the PV+LIB architecture is the optimum configuration, with a CoE of <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">${\$}$</tex-math></inline-formula> 0.2/kWh and an NPC of $7,334.

A microscopic traffic simulation framework to evaluate the performance of bus priority lanes

Bus priority measures are widely considered effective at reducing traffic congestion and bus travel times. Traditionally, the performance of a bus priority measure is evaluated using traffic survey-based methods. However, traffic simulations can also be used as a decision support tool for transport planners to test different bus priority measures in a simulation environment and evaluate the measure’s performance before physical implementation. This research presents the development of a microscopic traffic simulation framework to simulate traffic flows when a bus priority lane (BPL) is in operation and compares its performance against the case where no BPL is in operation. A test-bed along the Galle Road corridor (in Colombo, Sri Lanka) from Cross Junction to Ratmalana was chosen to test the developed simulation framework. The performance of the BPL was evaluated by considering the changes in the vehicle speeds before and after implementing the BPL. Different demand configurations were simulated by varying the general traffic flow and bus flow to understand the BPL's feasible demand configuration(s). The simulation results showed that the BPL was feasible with a relatively high bus flow (240 buses per hour) and a relatively moderate general traffic flow (2,000 / 2,500 vehicles per hour).

Techno-economic feasibility analysis of hydrogen production by PtG concept and feeding it into a combined cycle power plant leading to sector coupling in future

Power-to-Gas offers an efficient opportunity to turn renewable energy into “green” hydrogen, establishing an inevitably remunerative spectrum of end-uses. In this spirit, the current paper intends to establish a techno-economic perspective by evaluating a hybrid energy system model for sizing hydrogen generation by water electrolysis from renewable energy and using it in thermal power plants for electricity production for localized grids in Pakistan. Modeling of this hybrid system is done using HOMER Pro. Hydrogen is produced using a hybrid energy system and then fed into a hypothetical combined cycle power plant to produce electricity. Hydrogen has economic dominance over batteries in terms of energy storage and cost of energy, as per results. Four scenarios regarding proposed system configurations are considered in this study pondering upon how hydrogen can be produced from the perspective of cleaner production and assessing it techno-economically. Firstly, base case scenario consisting of wind turbine generators, genset, solar panels, batteries, convertor, electrolyzer and hydrogen tank is evaluated. Scenario − 1 is analyzed on the basis of techno-economic evaluations, excluding Li-Ion batteries from the base case. For scenario – 2, Li-Ion batteries have been included and genset is excluded from the system architecture to provide backup power to the electrolyzer during hours of intermittency aiming at least interruption. Lastly, scenario – 3 is exclusive of the photovoltaics and all rest remain intact. The economic analysis is constructed on economic parameters like payback period, internal rate of return, and cost of energy, and multiple configurations of the system. The most feasible configuration yielded levelized cost of energy being 0.465 USD/kWh, internal rate of return being 17.3 %, and payback period of 2.3 years. Renewable energy sources are thoroughly assessed for coupling with the desalination plant and electrolyzer array. This system can further be expanded on a larger scale to transform the region into a hydrogen hub to produce green, high-energy–density hydrogen to be supplied to and utilized by multiple sectors.

Design and multi-objective comprehensive evaluation analysis of PV-WT-BG-Battery hybrid renewable energy systems in urban communities

Determining the optimal configuration of hybrid renewable energy systems (HRESs) is the key to sustainable energy development. HRESs interface with multiple energy supply systems and need to simultaneously meet different time-varying loads. In this paper, 16 scenarios are formed from four resource conditions and four load types. All feasible HRES configurations for the 16 scenarios are simulated by using HOMER. Nine indexes are selected from three aspects (technology, economy and environment), and a comprehensive evaluation framework is established based on the Analytic Hierarchy Process. The optimal system in each scenario is selected and compared to assess the impact of resource and load conditions on system design. The results show that, in general, HRESs have a higher comprehensive index rating than single-source renewable energy systems, so HRESs should be considered as a better choice. And the optimal configuration of HRESs, including the size and type of generation devices and the size of energy storage device, is jointly determined by the conditions of energy resources and loads. The methodology presented in this paper can be an effective framework for designing and evaluating HRESs, and the obtained optimal systems can be valuable references for regions with similar resource and load conditions.

2-Dimensional packing on a variable size rectangular interface

The purpose of this work is to propose effective approximate algorithms capable to generate, in a very short time, a feasible 2-dimensional configuration (or interface) containing a set of given menus (or items) adapted to a certain user context (physical activity for example). The proposed approach should yield good configurations, with the aim of minimizing the used surface, which can be seen as a variable-size bin. The dimensions of such a bin should respect a fixed ratio between its width and its height. To solve the problem, we propose different approaches based on the shelf strategy. Moreover, we elaborate two genetic algorithms, which we compare to an integer linear programming model. The exact resolution of this mathematical model gives an optimal solution only for small instances. For the other instances, it is difficult to reach the optimal value in a short running time, which shows the practical interest of the proposed approximate methods.

Design hygrothermally functional wooden insulation systems: A parametric study for mixed climate

According to existing measurements and simulation results, the indoor thermal comfort in traditional wooden buildings (still remaining in a large amount) in the Chinese Hot-Summer-Cold-Winter zone is very poor in winter. However, few studies can be found regarding the energy retrofitting of their wooden enclosures, which is increasingly regarded as essential for improving indoor thermal comfort and maintaining built heritage. Therefore, this study demonstrates a method based on parametric study applying the widely validated WUFI®Plus software to help design hygrothermally functional insulation systems for this area. The parametric study was conducted on the example of traditional exterior wooden walls in Tongren in southern China. Five parameters were investigated, including internal and external insulation systems, vapor-open (mineral wool) and vapor-tight (XPS) insulation materials, a U-value of 0.8 W/(m2K) as well as a lower U-value of 0.24 W/(m2K) for the insulated walls, different capabilities and positions of an additional vapor control layer, as well as different cooling/dehumidification conditions in the warm period of a year. It has been found in this study that, if possible, a lower U-value than the current Chinese design standard for energy efficiency of buildings (0.8 W/(m2K) should be preferred for energy retrofitting. This can limit the yearly duration of a high internal surface relative humidity over 80% shorter than 30 days without any dehumidification devices. Besides, this study provides some feasible wall configurations with instructions on their limitations to guide future work regarding the design of insulated building components and the operation of renovated traditional wooden buildings.